Dataset statistics
| Number of variables | 183 |
|---|---|
| Number of observations | 1765 |
| Missing cells | 10849 |
| Missing cells (%) | 3.4% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 2.5 MiB |
| Average record size in memory | 1.4 KiB |
Variable types
| Categorical | 181 |
|---|---|
| Numeric | 2 |
('P0', 'id') has a high cardinality: 1765 distinct values | High cardinality |
('P35', 'other') has a high cardinality: 70 distinct values | High cardinality |
('P1', 'age') is highly correlated with salario | High correlation |
('P19', 'is_data_science_professional') is highly correlated with ('P20', 'linear_regression') and 11 other fields | High correlation |
('P20', 'linear_regression') is highly correlated with ('P19', 'is_data_science_professional') and 8 other fields | High correlation |
('P20', 'logistic_regression') is highly correlated with ('P19', 'is_data_science_professional') and 6 other fields | High correlation |
('P20', 'decision_tree') is highly correlated with ('P19', 'is_data_science_professional') and 7 other fields | High correlation |
('P20', 'random_forest') is highly correlated with ('P20', 'linear_regression') and 7 other fields | High correlation |
('P20', 'neural_networks') is highly correlated with ('P20', 'cnns') and 1 other fields | High correlation |
('P20', 'ensemble') is highly correlated with ('P20', 'random_forest') and 2 other fields | High correlation |
('P20', 'svms') is highly correlated with ('P20', 'random_forest') and 1 other fields | High correlation |
('P20', 'cnns') is highly correlated with ('P20', 'neural_networks') and 2 other fields | High correlation |
('P20', 'rnns') is highly correlated with ('P20', 'neural_networks') and 1 other fields | High correlation |
('P20', 'nlp') is highly correlated with ('P23', 'nlp') | High correlation |
('P20', 'gradient_boosted_machines') is highly correlated with ('P20', 'random_forest') and 1 other fields | High correlation |
('P20', 'cluster_analysis') is highly correlated with ('P20', 'linear_regression') and 3 other fields | High correlation |
('P21', 'sql_') is highly correlated with ('P19', 'is_data_science_professional') and 5 other fields | High correlation |
('P21', 'python') is highly correlated with ('P19', 'is_data_science_professional') and 10 other fields | High correlation |
('P23', 'sql') is highly correlated with ('P19', 'is_data_science_professional') and 8 other fields | High correlation |
('P23', 'nosql') is highly correlated with ('P19', 'is_data_science_professional') and 3 other fields | High correlation |
('P23', 'images') is highly correlated with ('P20', 'cnns') | High correlation |
('P23', 'nlp') is highly correlated with ('P20', 'nlp') | High correlation |
('P23', 'sheets') is highly correlated with ('P19', 'is_data_science_professional') and 7 other fields | High correlation |
('P24', 'sql') is highly correlated with ('P19', 'is_data_science_professional') and 4 other fields | High correlation |
('P24', 'nosql') is highly correlated with ('P23', 'nosql') | High correlation |
('P24', 'planilhas') is highly correlated with ('P19', 'is_data_science_professional') and 1 other fields | High correlation |
('P25', 'aws') is highly correlated with ('P19', 'is_data_science_professional') and 3 other fields | High correlation |
('P26', 'mongodb') is highly correlated with ('P23', 'nosql') | High correlation |
('P26', 's3') is highly correlated with ('P25', 'aws') | High correlation |
('P27', 'microsoft_powerbi') is highly correlated with ('P19', 'is_data_science_professional') | High correlation |
('P31', 'data_hackers_blog') is highly correlated with ('P31', 'do_not_know_data_hackers') | High correlation |
('P31', 'data_hackers_podcast') is highly correlated with ('P31', 'do_not_know_data_hackers') | High correlation |
('P31', 'do_not_know_data_hackers') is highly correlated with ('P31', 'data_hackers_blog') and 1 other fields | High correlation |
salario is highly correlated with ('P1', 'age') | High correlation |
('P19', 'is_data_science_professional') is highly correlated with ('P20', 'linear_regression') and 11 other fields | High correlation |
('P20', 'linear_regression') is highly correlated with ('P19', 'is_data_science_professional') and 8 other fields | High correlation |
('P20', 'logistic_regression') is highly correlated with ('P19', 'is_data_science_professional') and 6 other fields | High correlation |
('P20', 'decision_tree') is highly correlated with ('P19', 'is_data_science_professional') and 7 other fields | High correlation |
('P20', 'random_forest') is highly correlated with ('P20', 'linear_regression') and 7 other fields | High correlation |
('P20', 'neural_networks') is highly correlated with ('P20', 'cnns') and 1 other fields | High correlation |
('P20', 'ensemble') is highly correlated with ('P20', 'random_forest') and 2 other fields | High correlation |
('P20', 'svms') is highly correlated with ('P20', 'random_forest') and 1 other fields | High correlation |
('P20', 'cnns') is highly correlated with ('P20', 'neural_networks') and 2 other fields | High correlation |
('P20', 'rnns') is highly correlated with ('P20', 'neural_networks') and 1 other fields | High correlation |
('P20', 'nlp') is highly correlated with ('P23', 'nlp') | High correlation |
('P20', 'gradient_boosted_machines') is highly correlated with ('P20', 'random_forest') and 1 other fields | High correlation |
('P20', 'cluster_analysis') is highly correlated with ('P20', 'linear_regression') and 3 other fields | High correlation |
('P21', 'sql_') is highly correlated with ('P19', 'is_data_science_professional') and 5 other fields | High correlation |
('P21', 'python') is highly correlated with ('P19', 'is_data_science_professional') and 10 other fields | High correlation |
('P23', 'sql') is highly correlated with ('P19', 'is_data_science_professional') and 8 other fields | High correlation |
('P23', 'nosql') is highly correlated with ('P19', 'is_data_science_professional') and 3 other fields | High correlation |
('P23', 'images') is highly correlated with ('P20', 'cnns') | High correlation |
('P23', 'nlp') is highly correlated with ('P20', 'nlp') | High correlation |
('P23', 'sheets') is highly correlated with ('P19', 'is_data_science_professional') and 7 other fields | High correlation |
('P24', 'sql') is highly correlated with ('P19', 'is_data_science_professional') and 4 other fields | High correlation |
('P24', 'nosql') is highly correlated with ('P23', 'nosql') | High correlation |
('P24', 'planilhas') is highly correlated with ('P19', 'is_data_science_professional') and 1 other fields | High correlation |
('P25', 'aws') is highly correlated with ('P19', 'is_data_science_professional') and 3 other fields | High correlation |
('P26', 'mongodb') is highly correlated with ('P23', 'nosql') | High correlation |
('P26', 's3') is highly correlated with ('P25', 'aws') | High correlation |
('P27', 'microsoft_powerbi') is highly correlated with ('P19', 'is_data_science_professional') | High correlation |
('P31', 'data_hackers_blog') is highly correlated with ('P31', 'do_not_know_data_hackers') | High correlation |
('P31', 'data_hackers_podcast') is highly correlated with ('P31', 'do_not_know_data_hackers') | High correlation |
('P31', 'do_not_know_data_hackers') is highly correlated with ('P31', 'data_hackers_blog') and 1 other fields | High correlation |
('P19', 'is_data_science_professional') is highly correlated with ('P20', 'linear_regression') and 11 other fields | High correlation |
('P20', 'linear_regression') is highly correlated with ('P19', 'is_data_science_professional') and 8 other fields | High correlation |
('P20', 'logistic_regression') is highly correlated with ('P19', 'is_data_science_professional') and 6 other fields | High correlation |
('P20', 'decision_tree') is highly correlated with ('P19', 'is_data_science_professional') and 7 other fields | High correlation |
('P20', 'random_forest') is highly correlated with ('P20', 'linear_regression') and 7 other fields | High correlation |
('P20', 'neural_networks') is highly correlated with ('P20', 'cnns') and 1 other fields | High correlation |
('P20', 'ensemble') is highly correlated with ('P20', 'random_forest') and 2 other fields | High correlation |
('P20', 'svms') is highly correlated with ('P20', 'random_forest') and 1 other fields | High correlation |
('P20', 'cnns') is highly correlated with ('P20', 'neural_networks') and 2 other fields | High correlation |
('P20', 'rnns') is highly correlated with ('P20', 'neural_networks') and 1 other fields | High correlation |
('P20', 'nlp') is highly correlated with ('P23', 'nlp') | High correlation |
('P20', 'gradient_boosted_machines') is highly correlated with ('P20', 'random_forest') and 1 other fields | High correlation |
('P20', 'cluster_analysis') is highly correlated with ('P20', 'linear_regression') and 3 other fields | High correlation |
('P21', 'sql_') is highly correlated with ('P19', 'is_data_science_professional') and 5 other fields | High correlation |
('P21', 'python') is highly correlated with ('P19', 'is_data_science_professional') and 10 other fields | High correlation |
('P23', 'sql') is highly correlated with ('P19', 'is_data_science_professional') and 8 other fields | High correlation |
('P23', 'nosql') is highly correlated with ('P19', 'is_data_science_professional') and 3 other fields | High correlation |
('P23', 'images') is highly correlated with ('P20', 'cnns') | High correlation |
('P23', 'nlp') is highly correlated with ('P20', 'nlp') | High correlation |
('P23', 'sheets') is highly correlated with ('P19', 'is_data_science_professional') and 7 other fields | High correlation |
('P24', 'sql') is highly correlated with ('P19', 'is_data_science_professional') and 4 other fields | High correlation |
('P24', 'nosql') is highly correlated with ('P23', 'nosql') | High correlation |
('P24', 'planilhas') is highly correlated with ('P19', 'is_data_science_professional') and 1 other fields | High correlation |
('P25', 'aws') is highly correlated with ('P19', 'is_data_science_professional') and 3 other fields | High correlation |
('P26', 'mongodb') is highly correlated with ('P23', 'nosql') | High correlation |
('P26', 's3') is highly correlated with ('P25', 'aws') | High correlation |
('P27', 'microsoft_powerbi') is highly correlated with ('P19', 'is_data_science_professional') | High correlation |
('P31', 'data_hackers_blog') is highly correlated with ('P31', 'do_not_know_data_hackers') | High correlation |
('P31', 'data_hackers_podcast') is highly correlated with ('P31', 'do_not_know_data_hackers') | High correlation |
('P31', 'do_not_know_data_hackers') is highly correlated with ('P31', 'data_hackers_blog') and 1 other fields | High correlation |
('P1', 'age') is highly correlated with ('P8', 'degreee_level') and 2 other fields | High correlation |
('P2', 'gender') is highly correlated with sexo | High correlation |
('P5', 'living_state') is highly correlated with ('D1', 'living_macroregion') | High correlation |
('P8', 'degreee_level') is highly correlated with ('P1', 'age') and 2 other fields | High correlation |
('P10', 'job_situation') is highly correlated with ('P16', 'salary_range') and 3 other fields | High correlation |
('P12', 'workers_number') is highly correlated with ('P29', 'have_data_warehouse') and 2 other fields | High correlation |
('P13', 'manager') is highly correlated with gestor | High correlation |
('P16', 'salary_range') is highly correlated with ('P10', 'job_situation') and 4 other fields | High correlation |
('P17', 'time_experience_data_science') is highly correlated with experiencia_ds | High correlation |
('P18', 'time_experience_before') is highly correlated with ('P35', 'other') | High correlation |
('P19', 'is_data_science_professional') is highly correlated with ('P20', 'linear_regression') and 31 other fields | High correlation |
('P20', 'linear_regression') is highly correlated with ('P19', 'is_data_science_professional') and 27 other fields | High correlation |
('P20', 'logistic_regression') is highly correlated with ('P19', 'is_data_science_professional') and 23 other fields | High correlation |
('P20', 'glms') is highly correlated with ('P20', 'linear_regression') and 9 other fields | High correlation |
('P20', 'decision_tree') is highly correlated with ('P19', 'is_data_science_professional') and 24 other fields | High correlation |
('P20', 'random_forest') is highly correlated with ('P19', 'is_data_science_professional') and 23 other fields | High correlation |
('P20', 'neural_networks') is highly correlated with ('P19', 'is_data_science_professional') and 19 other fields | High correlation |
('P20', 'bayesian_inference') is highly correlated with ('P19', 'is_data_science_professional') and 12 other fields | High correlation |
('P20', 'ensemble') is highly correlated with ('P20', 'linear_regression') and 14 other fields | High correlation |
('P20', 'svms') is highly correlated with ('P20', 'linear_regression') and 13 other fields | High correlation |
('P20', 'cnns') is highly correlated with ('P20', 'neural_networks') and 7 other fields | High correlation |
('P20', 'rnns') is highly correlated with ('P20', 'random_forest') and 8 other fields | High correlation |
('P20', 'hmms') is highly correlated with ('P20', 'markov_chains') | High correlation |
('P20', 'gans') is highly correlated with ('P20', 'cnns') and 1 other fields | High correlation |
('P20', 'markov_chains') is highly correlated with ('P20', 'bayesian_inference') and 2 other fields | High correlation |
('P20', 'nlp') is highly correlated with ('P19', 'is_data_science_professional') and 18 other fields | High correlation |
('P20', 'gradient_boosted_machines') is highly correlated with ('P20', 'linear_regression') and 13 other fields | High correlation |
('P20', 'cluster_analysis') is highly correlated with ('P19', 'is_data_science_professional') and 21 other fields | High correlation |
('P20', 'joint analysis') is highly correlated with ('P35', 'other') | High correlation |
('P20', 'no_listed_methods') is highly correlated with ('P19', 'is_data_science_professional') and 2 other fields | High correlation |
('P21', 'sql_') is highly correlated with ('P19', 'is_data_science_professional') and 24 other fields | High correlation |
('P21', 'r') is highly correlated with ('P19', 'is_data_science_professional') and 13 other fields | High correlation |
('P21', 'python') is highly correlated with ('P19', 'is_data_science_professional') and 31 other fields | High correlation |
('P21', 'c_c++_c#') is highly correlated with ('P21', 'dotnet') | High correlation |
('P21', 'dotnet') is highly correlated with ('P21', 'c_c++_c#') | High correlation |
('P21', 'sas_stata') is highly correlated with ('P22', 'most_used_proggraming_languages') and 1 other fields | High correlation |
('P21', 'matlab') is highly correlated with ('P35', 'other') | High correlation |
('P21', 'no_listed_languages') is highly correlated with ('P22', 'most_used_proggraming_languages') | High correlation |
('P22', 'most_used_proggraming_languages') is highly correlated with ('P21', 'sas_stata') and 4 other fields | High correlation |
('P23', 'sql') is highly correlated with ('P19', 'is_data_science_professional') and 30 other fields | High correlation |
('P23', 'nosql') is highly correlated with ('P19', 'is_data_science_professional') and 21 other fields | High correlation |
('P23', 'images') is highly correlated with ('P20', 'neural_networks') and 6 other fields | High correlation |
('P23', 'nlp') is highly correlated with ('P19', 'is_data_science_professional') and 18 other fields | High correlation |
('P23', 'videos') is highly correlated with ('P20', 'gans') and 1 other fields | High correlation |
('P23', 'sheets') is highly correlated with ('P19', 'is_data_science_professional') and 23 other fields | High correlation |
('P23', 'other') is highly correlated with ('P24', 'other') | High correlation |
('P24', 'sql') is highly correlated with ('P19', 'is_data_science_professional') and 22 other fields | High correlation |
('P24', 'nosql') is highly correlated with ('P23', 'nosql') | High correlation |
('P24', 'imagens') is highly correlated with ('P20', 'cnns') and 2 other fields | High correlation |
('P24', 'nlp') is highly correlated with ('P20', 'nlp') and 2 other fields | High correlation |
('P24', 'planilhas') is highly correlated with ('P19', 'is_data_science_professional') and 6 other fields | High correlation |
('P24', 'other') is highly correlated with ('P23', 'other') and 1 other fields | High correlation |
('P25', 'aws') is highly correlated with ('P19', 'is_data_science_professional') and 17 other fields | High correlation |
('P25', 'gcp') is highly correlated with ('P19', 'is_data_science_professional') and 5 other fields | High correlation |
('P25', 'azure') is highly correlated with ('P26', 'sql_server') and 2 other fields | High correlation |
('P25', 'on_premise_servers') is highly correlated with ('P35', 'other') | High correlation |
('P26', 'mysql') is highly correlated with ('P19', 'is_data_science_professional') and 7 other fields | High correlation |
('P26', 'oracle') is highly correlated with ('P19', 'is_data_science_professional') and 5 other fields | High correlation |
('P26', 'sql_server') is highly correlated with ('P19', 'is_data_science_professional') and 10 other fields | High correlation |
('P26', 'dynamodb') is highly correlated with ('P28', 'aws_glue') and 1 other fields | High correlation |
('P26', 'mongodb') is highly correlated with ('P19', 'is_data_science_professional') and 6 other fields | High correlation |
('P26', 's3') is highly correlated with ('P21', 'python') and 6 other fields | High correlation |
('P26', 'postgresql') is highly correlated with ('P19', 'is_data_science_professional') and 12 other fields | High correlation |
('P26', 'elaticsearch') is highly correlated with ('P23', 'nosql') and 1 other fields | High correlation |
('P26', 'other') is highly correlated with ('P35', 'other') | High correlation |
('P27', 'microsoft_powerbi') is highly correlated with ('P19', 'is_data_science_professional') and 13 other fields | High correlation |
('P27', 'tableau') is highly correlated with ('P19', 'is_data_science_professional') and 4 other fields | High correlation |
('P27', 'superset') is highly correlated with ('P35', 'other') | High correlation |
('P27', 'redash') is highly correlated with ('P35', 'other') | High correlation |
('P27', 'microstrategy') is highly correlated with ('P35', 'other') | High correlation |
('P27', 'sap_business_objects') is highly correlated with ('P28', 'sap_bw_etl') and 1 other fields | High correlation |
('P27', 'google_data_studio') is highly correlated with ('P25', 'gcp') and 2 other fields | High correlation |
('P27', 'only_excel_gsheets') is highly correlated with ('P35', 'other') | High correlation |
('P27', 'other') is highly correlated with ('P35', 'other') | High correlation |
('P28', 'sql_&_stored_procedures') is highly correlated with ('P19', 'is_data_science_professional') and 7 other fields | High correlation |
('P28', 'apache_airflow') is highly correlated with ('P25', 'aws') and 1 other fields | High correlation |
('P28', 'aws_glue') is highly correlated with ('P25', 'aws') and 3 other fields | High correlation |
('P28', 'pentaho') is highly correlated with ('P24', 'sql') | High correlation |
('P28', 'oracle_data_integrator') is highly correlated with ('P35', 'other') | High correlation |
('P28', 'sap_bw_etl') is highly correlated with ('P27', 'sap_business_objects') and 1 other fields | High correlation |
('P28', 'siss_sql_server_integration_services') is highly correlated with ('P26', 'sql_server') and 2 other fields | High correlation |
('P28', 'other') is highly correlated with ('P19', 'is_data_science_professional') and 1 other fields | High correlation |
('P29', 'have_data_warehouse') is highly correlated with ('P12', 'workers_number') | High correlation |
('P30', 'google_bigquery') is highly correlated with ('P25', 'gcp') and 2 other fields | High correlation |
('P30', 'aws_redshift') is highly correlated with ('P25', 'aws') and 2 other fields | High correlation |
('P30', 'oracle') is highly correlated with ('P26', 'oracle') | High correlation |
('P30', 'postgres_mysql') is highly correlated with ('P26', 'postgresql') and 1 other fields | High correlation |
('P30', 'microsoft_azure') is highly correlated with ('P25', 'azure') | High correlation |
('P31', 'data_hackers_blog') is highly correlated with ('P31', 'data_hackers_podcast') and 3 other fields | High correlation |
('P31', 'data_hackers_podcast') is highly correlated with ('P31', 'data_hackers_blog') and 3 other fields | High correlation |
('P31', 'weekly_newsletter') is highly correlated with ('P31', 'do_not_know_data_hackers') and 1 other fields | High correlation |
('P31', 'slack_channel') is highly correlated with ('P31', 'data_hackers_blog') and 3 other fields | High correlation |
('P31', 'data_hackers_bootcamp') is highly correlated with ('P35', 'other') | High correlation |
('P31', 'do_not_know_data_hackers') is highly correlated with ('P31', 'data_hackers_blog') and 4 other fields | High correlation |
('P32', 'prefered_data_hackers_initiative') is highly correlated with ('P31', 'data_hackers_blog') and 5 other fields | High correlation |
('P33', 'other') is highly correlated with ('P35', 'other') | High correlation |
('P34', 'udacity') is highly correlated with ('P35', 'data_science_plataforms_preference') and 1 other fields | High correlation |
('P34', 'coursera') is highly correlated with ('P35', 'data_science_plataforms_preference') and 1 other fields | High correlation |
('P34', 'udemy') is highly correlated with ('P34', 'online_courses') and 2 other fields | High correlation |
('P34', 'height') is highly correlated with ('P35', 'data_science_plataforms_preference') and 1 other fields | High correlation |
('P34', 'data_camp') is highly correlated with ('P35', 'data_science_plataforms_preference') and 1 other fields | High correlation |
('P34', 'data_quest') is highly correlated with ('P35', 'data_science_plataforms_preference') and 1 other fields | High correlation |
('P34', 'online_courses') is highly correlated with ('P34', 'udemy') and 3 other fields | High correlation |
('P34', 'other') is highly correlated with ('P35', 'other') | High correlation |
('P35', 'data_science_plataforms_preference') is highly correlated with ('P34', 'udacity') and 7 other fields | High correlation |
('P35', 'other') is highly correlated with ('P8', 'degreee_level') and 45 other fields | High correlation |
('D1', 'living_macroregion') is highly correlated with ('P5', 'living_state') | High correlation |
('D2', 'origin_macroregion') is highly correlated with ('P35', 'other') | High correlation |
('D3', 'anonymized_degree_area') is highly correlated with ('P35', 'other') and 3 other fields | High correlation |
('D4', 'anonymized_market_sector') is highly correlated with ('P35', 'other') and 1 other fields | High correlation |
('D5', 'anonymized_manager_level') is highly correlated with ('P12', 'workers_number') and 1 other fields | High correlation |
('D6', 'anonymized_role') is highly correlated with ('P19', 'is_data_science_professional') and 24 other fields | High correlation |
profissao is highly correlated with ('P19', 'is_data_science_professional') and 28 other fields | High correlation |
idade is highly correlated with ('P1', 'age') and 2 other fields | High correlation |
salario is highly correlated with ('P16', 'salary_range') and 1 other fields | High correlation |
tamanho_da_empresa is highly correlated with ('P10', 'job_situation') and 2 other fields | High correlation |
gestor is highly correlated with ('P13', 'manager') | High correlation |
se_considera_ds is highly correlated with ('P19', 'is_data_science_professional') and 31 other fields | High correlation |
sexo is highly correlated with ('P2', 'gender') | High correlation |
experiencia_ds is highly correlated with ('P17', 'time_experience_data_science') | High correlation |
tipo_de_trabalho is highly correlated with ('P10', 'job_situation') and 3 other fields | High correlation |
escolaridade is highly correlated with ('P1', 'age') and 2 other fields | High correlation |
area_de_formacao is highly correlated with ('P35', 'other') and 3 other fields | High correlation |
setor_de_mercado is highly correlated with ('P35', 'other') and 1 other fields | High correlation |
plataforma_favorita is highly correlated with ('P34', 'udacity') and 7 other fields | High correlation |
('P1', 'age') has 24 (1.4%) missing values | Missing |
('P5', 'living_state') has 337 (19.1%) missing values | Missing |
('P6', 'born_or_graduated') has 34 (1.9%) missing values | Missing |
('P12', 'workers_number') has 238 (13.5%) missing values | Missing |
('P13', 'manager') has 238 (13.5%) missing values | Missing |
('P16', 'salary_range') has 238 (13.5%) missing values | Missing |
('P22', 'most_used_proggraming_languages') has 859 (48.7%) missing values | Missing |
('P29', 'have_data_warehouse') has 972 (55.1%) missing values | Missing |
('P35', 'data_science_plataforms_preference') has 140 (7.9%) missing values | Missing |
('P35', 'other') has 1625 (92.1%) missing values | Missing |
('D1', 'living_macroregion') has 337 (19.1%) missing values | Missing |
('D2', 'origin_macroregion') has 1440 (81.6%) missing values | Missing |
('D3', 'anonymized_degree_area') has 35 (2.0%) missing values | Missing |
('D4', 'anonymized_market_sector') has 243 (13.8%) missing values | Missing |
('D5', 'anonymized_manager_level') has 1460 (82.7%) missing values | Missing |
('D6', 'anonymized_role') has 514 (29.1%) missing values | Missing |
profissao has 821 (46.5%) missing values | Missing |
idade has 24 (1.4%) missing values | Missing |
salario has 238 (13.5%) missing values | Missing |
tamanho_da_empresa has 366 (20.7%) missing values | Missing |
gestor has 238 (13.5%) missing values | Missing |
area_de_formacao has 35 (2.0%) missing values | Missing |
setor_de_mercado has 243 (13.8%) missing values | Missing |
plataforma_favorita has 140 (7.9%) missing values | Missing |
('P0', 'id') is uniformly distributed | Uniform |
('P0', 'id') has unique values | Unique |
Reproduction
| Analysis started | 2022-06-30 19:00:29.967592 |
|---|---|
| Analysis finished | 2022-06-30 19:02:52.911080 |
| Duration | 2 minutes and 22.94 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
| Distinct | 1765 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| v9otv8j9wdvjrv9otvwnn9owhzq54ktv | 1 |
|---|---|
| lpbg52wujbplior6u1sfz6jz5y1sv9bi | 1 |
| 0adf1nmon3qtu5px50adf1bcvbyyb019 | 1 |
| rkoj6cjowueyh7aoixg4rkoj6cysaxxj | 1 |
| 4hsf2rmxc33u5xknzghb04hsf2rm2dpn | 1 |
| Other values (1760) |
Length
| Max length | 32 |
|---|---|
| Median length | 32 |
| Mean length | 32 |
| Min length | 32 |
Characters and Unicode
| Total characters | 56480 |
|---|---|
| Distinct characters | 36 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1765 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | v9otv8j9wdvjrv9otvwnn9owhzq54ktv |
|---|---|
| 2nd row | 875ul998t0hqcv0871uptwf3oswcfv35 |
| 3rd row | puscuk079vw1pusbb900pzw2xvpxtgdk |
| 4th row | rmel8ewqpbffp2mnfbzermel8eqincov |
| 5th row | pj9mgud4d6mdct1l7vq0pj9mgu78h6ju |
Common Values
| Value | Count | Frequency (%) |
| v9otv8j9wdvjrv9otvwnn9owhzq54ktv | 1 | 0.1% |
| lpbg52wujbplior6u1sfz6jz5y1sv9bi | 1 | 0.1% |
| 0adf1nmon3qtu5px50adf1bcvbyyb019 | 1 | 0.1% |
| rkoj6cjowueyh7aoixg4rkoj6cysaxxj | 1 | 0.1% |
| 4hsf2rmxc33u5xknzghb04hsf2rm2dpn | 1 | 0.1% |
| rr6fskzr7o0o8b5isbzjx9rr6fsr0qqa | 1 | 0.1% |
| 6jecdg2anwple9poilukd6jecdg475u4 | 1 | 0.1% |
| 0bk93xav7ytauebjcilauuoe0bk9365a | 1 | 0.1% |
| ay3tk9zie59nqnhay3tk9z5agwv27oln | 1 | 0.1% |
| ufbj66nszpl6ufbjg7zhqu6w1wq62t10 | 1 | 0.1% |
| Other values (1755) | 1755 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| v9otv8j9wdvjrv9otvwnn9owhzq54ktv | 1 | 0.1% |
| e3ee6zjc4cd4e3efrp52vkmx4grcs6pu | 1 | 0.1% |
| rmel8ewqpbffp2mnfbzermel8eqincov | 1 | 0.1% |
| pj9mgud4d6mdct1l7vq0pj9mgu78h6ju | 1 | 0.1% |
| cb7n2v7372y97wl1lcb7n2e8tpockl83 | 1 | 0.1% |
| ayev5viaqe43pxxqqxayev5vtvdba619 | 1 | 0.1% |
| se3czgy682ew760hzvhmvsse3czpwozo | 1 | 0.1% |
| h5zvhct1kbmbb49h5zgzb3c1ce6lnrl6 | 1 | 0.1% |
| 4t388yqrekd1gsq4t388b9gqkmt2z86x | 1 | 0.1% |
| yow87k0qg2lcld30dfxeuyow87k01w1w | 1 | 0.1% |
| Other values (1755) | 1755 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1650 | 2.9% |
| o | 1631 | 2.9% |
| z | 1629 | 2.9% |
| 2 | 1627 | 2.9% |
| 0 | 1623 | 2.9% |
| 9 | 1613 | 2.9% |
| f | 1611 | 2.9% |
| j | 1607 | 2.8% |
| q | 1594 | 2.8% |
| u | 1592 | 2.8% |
| Other values (26) | 40303 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 40759 | |
| Decimal Number | 15721 | 27.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 1650 | 4.0% |
| o | 1631 | 4.0% |
| z | 1629 | 4.0% |
| f | 1611 | 4.0% |
| j | 1607 | 3.9% |
| q | 1594 | 3.9% |
| u | 1592 | 3.9% |
| d | 1587 | 3.9% |
| a | 1586 | 3.9% |
| v | 1582 | 3.9% |
| Other values (16) | 24690 |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 1627 | |
| 0 | 1623 | |
| 9 | 1613 | |
| 3 | 1586 | |
| 5 | 1564 | |
| 6 | 1555 | |
| 8 | 1551 | |
| 4 | 1550 | |
| 1 | 1526 | |
| 7 | 1526 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 40759 | |
| Common | 15721 | 27.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 1650 | 4.0% |
| o | 1631 | 4.0% |
| z | 1629 | 4.0% |
| f | 1611 | 4.0% |
| j | 1607 | 3.9% |
| q | 1594 | 3.9% |
| u | 1592 | 3.9% |
| d | 1587 | 3.9% |
| a | 1586 | 3.9% |
| v | 1582 | 3.9% |
| Other values (16) | 24690 |
Common
| Value | Count | Frequency (%) |
| 2 | 1627 | |
| 0 | 1623 | |
| 9 | 1613 | |
| 3 | 1586 | |
| 5 | 1564 | |
| 6 | 1555 | |
| 8 | 1551 | |
| 4 | 1550 | |
| 1 | 1526 | |
| 7 | 1526 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 56480 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 1650 | 2.9% |
| o | 1631 | 2.9% |
| z | 1629 | 2.9% |
| 2 | 1627 | 2.9% |
| 0 | 1623 | 2.9% |
| 9 | 1613 | 2.9% |
| f | 1611 | 2.9% |
| j | 1607 | 2.8% |
| q | 1594 | 2.8% |
| u | 1592 | 2.8% |
| Other values (26) | 40303 |
| Distinct | 33 |
|---|---|
| Distinct (%) | 1.9% |
| Missing | 24 |
| Missing (%) | 1.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29.80068926 |
| Minimum | 18 |
|---|---|
| Maximum | 50 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 13.9 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 21 |
| Q1 | 25 |
| median | 29 |
| Q3 | 34 |
| 95-th percentile | 43 |
| Maximum | 50 |
| Range | 32 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 6.595794514 |
|---|---|
| Coefficient of variation (CV) | 0.2213302671 |
| Kurtosis | 0.1479533151 |
| Mean | 29.80068926 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 0.7315076121 |
| Sum | 51883 |
| Variance | 43.50450527 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=33)
| Value | Count | Frequency (%) |
| 27 | 119 | 6.7% |
| 25 | 118 | 6.7% |
| 29 | 108 | 6.1% |
| 30 | 107 | 6.1% |
| 26 | 101 | 5.7% |
| 28 | 97 | 5.5% |
| 23 | 97 | 5.5% |
| 22 | 94 | 5.3% |
| 24 | 89 | 5.0% |
| 31 | 88 | 5.0% |
| Other values (23) | 723 |
| Value | Count | Frequency (%) |
| 18 | 8 | 0.5% |
| 19 | 14 | 0.8% |
| 20 | 39 | 2.2% |
| 21 | 58 | |
| 22 | 94 | |
| 23 | 97 | |
| 24 | 89 | |
| 25 | 118 | |
| 26 | 101 | |
| 27 | 119 |
| Value | Count | Frequency (%) |
| 50 | 10 | 0.6% |
| 49 | 6 | 0.3% |
| 48 | 4 | 0.2% |
| 47 | 15 | |
| 46 | 9 | 0.5% |
| 45 | 18 | |
| 44 | 12 | |
| 43 | 17 | |
| 42 | 16 | |
| 41 | 26 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 3 |
| Missing (%) | 0.2% |
| Memory size | 13.9 KiB |
| Masculino | |
|---|---|
| Feminino |
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 8.814982974 |
| Min length | 8 |
Characters and Unicode
| Total characters | 15532 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Masculino |
|---|---|
| 2nd row | Feminino |
| 3rd row | Masculino |
| 4th row | Masculino |
| 5th row | Masculino |
Common Values
| Value | Count | Frequency (%) |
| Masculino | 1436 | |
| Feminino | 326 | 18.5% |
| (Missing) | 3 | 0.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| masculino | 1436 | |
| feminino | 326 | 18.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 2088 | |
| n | 2088 | |
| o | 1762 | |
| M | 1436 | |
| a | 1436 | |
| s | 1436 | |
| c | 1436 | |
| u | 1436 | |
| l | 1436 | |
| F | 326 | 2.1% |
| Other values (2) | 652 | 4.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 13770 | |
| Uppercase Letter | 1762 | 11.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 2088 | |
| n | 2088 | |
| o | 1762 | |
| a | 1436 | |
| s | 1436 | |
| c | 1436 | |
| u | 1436 | |
| l | 1436 | |
| e | 326 | 2.4% |
| m | 326 | 2.4% |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 1436 | |
| F | 326 | 18.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 15532 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 2088 | |
| n | 2088 | |
| o | 1762 | |
| M | 1436 | |
| a | 1436 | |
| s | 1436 | |
| c | 1436 | |
| u | 1436 | |
| l | 1436 | |
| F | 326 | 2.1% |
| Other values (2) | 652 | 4.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 15532 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 2088 | |
| n | 2088 | |
| o | 1762 | |
| M | 1436 | |
| a | 1436 | |
| s | 1436 | |
| c | 1436 | |
| u | 1436 | |
| l | 1436 | |
| F | 326 | 2.1% |
| Other values (2) | 652 | 4.2% |
('P3', 'living_in_brasil')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 1 | |
|---|---|
| 0 | 34 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 1731 | |
| 0 | 34 | 1.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 1731 | |
| 0 | 34 | 1.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 1731 | |
| 0 | 34 | 1.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 1731 | |
| 0 | 34 | 1.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 1731 | |
| 0 | 34 | 1.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 1731 | |
| 0 | 34 | 1.9% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 337 |
| Missing (%) | 19.1% |
| Memory size | 13.9 KiB |
| São Paulo (SP) | |
|---|---|
| Minas Gerais (MG) | |
| Rio de Janeiro (RJ) | |
| Paraná (PR) | |
| Santa Catarina (SC) | |
| Other values (2) |
Length
| Max length | 22 |
|---|---|
| Median length | 19 |
| Mean length | 15.70448179 |
| Min length | 11 |
Characters and Unicode
| Total characters | 22426 |
|---|---|
| Distinct characters | 26 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Minas Gerais (MG) |
|---|---|
| 2nd row | São Paulo (SP) |
| 3rd row | São Paulo (SP) |
| 4th row | São Paulo (SP) |
| 5th row | Paraná (PR) |
Common Values
| Value | Count | Frequency (%) |
| São Paulo (SP) | 669 | |
| Minas Gerais (MG) | 316 | |
| Rio de Janeiro (RJ) | 147 | 8.3% |
| Paraná (PR) | 117 | 6.6% |
| Santa Catarina (SC) | 83 | 4.7% |
| Rio Grande do Sul (RS) | 69 | 3.9% |
| Espírito Santo (ES) | 27 | 1.5% |
| (Missing) | 337 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| são | 669 | |
| paulo | 669 | |
| sp | 669 | |
| minas | 316 | 7.1% |
| gerais | 316 | 7.1% |
| mg | 316 | 7.1% |
| rio | 216 | 4.9% |
| de | 147 | 3.3% |
| janeiro | 147 | 3.3% |
| rj | 147 | 3.3% |
| Other values (12) | 840 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3024 | ||
| a | 2193 | 9.8% |
| o | 1824 | 8.1% |
| S | 1696 | 7.6% |
| P | 1572 | 7.0% |
| ( | 1428 | 6.4% |
| ) | 1428 | 6.4% |
| i | 1105 | 4.9% |
| n | 842 | 3.8% |
| r | 759 | 3.4% |
| Other values (16) | 6555 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10882 | |
| Uppercase Letter | 5664 | |
| Space Separator | 3024 | 13.5% |
| Open Punctuation | 1428 | 6.4% |
| Close Punctuation | 1428 | 6.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 2193 | |
| o | 1824 | |
| i | 1105 | |
| n | 842 | 7.7% |
| r | 759 | 7.0% |
| u | 738 | 6.8% |
| l | 738 | 6.8% |
| e | 679 | 6.2% |
| ã | 669 | 6.1% |
| s | 659 | 6.1% |
| Other values (5) | 676 | 6.2% |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 1696 | |
| P | 1572 | |
| G | 701 | |
| M | 632 | 11.2% |
| R | 549 | 9.7% |
| J | 294 | 5.2% |
| C | 166 | 2.9% |
| E | 54 | 1.0% |
Space Separator
| Value | Count | Frequency (%) |
| 3024 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 1428 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 1428 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 16546 | |
| Common | 5880 | 26.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 2193 | |
| o | 1824 | |
| S | 1696 | 10.3% |
| P | 1572 | 9.5% |
| i | 1105 | 6.7% |
| n | 842 | 5.1% |
| r | 759 | 4.6% |
| u | 738 | 4.5% |
| l | 738 | 4.5% |
| G | 701 | 4.2% |
| Other values (13) | 4378 |
Common
| Value | Count | Frequency (%) |
| 3024 | ||
| ( | 1428 | |
| ) | 1428 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 21613 | |
| None | 813 | 3.6% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3024 | ||
| a | 2193 | 10.1% |
| o | 1824 | 8.4% |
| S | 1696 | 7.8% |
| P | 1572 | 7.3% |
| ( | 1428 | 6.6% |
| ) | 1428 | 6.6% |
| i | 1105 | 5.1% |
| n | 842 | 3.9% |
| r | 759 | 3.5% |
| Other values (13) | 5742 |
None
| Value | Count | Frequency (%) |
| ã | 669 | |
| á | 117 | 14.4% |
| í | 27 | 3.3% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 34 |
| Missing (%) | 1.9% |
| Memory size | 13.9 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 5193 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 1.0 |
| 4th row | 0.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 1403 | |
| 0.0 | 328 | 18.6% |
| (Missing) | 34 | 1.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 1403 | |
| 0.0 | 328 | 18.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2059 | |
| . | 1731 | |
| 1 | 1403 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3462 | |
| Other Punctuation | 1731 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2059 | |
| 1 | 1403 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 1731 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 5193 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2059 | |
| . | 1731 | |
| 1 | 1403 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 5193 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2059 | |
| . | 1731 | |
| 1 | 1403 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| Graduação/Bacharelado | |
|---|---|
| Pós-graduação | |
| Estudante de Graduação | |
| Mestrado | |
| Doutorado ou Phd | 50 |
| Other values (2) | 35 |
Length
| Max length | 26 |
|---|---|
| Median length | 22 |
| Mean length | 17.29688385 |
| Min length | 8 |
Characters and Unicode
| Total characters | 30529 |
|---|---|
| Distinct characters | 29 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | Estudante de Graduação |
|---|---|
| 2nd row | Estudante de Graduação |
| 3rd row | Graduação/Bacharelado |
| 4th row | Estudante de Graduação |
| 5th row | Graduação/Bacharelado |
Common Values
| Value | Count | Frequency (%) |
| Graduação/Bacharelado | 578 | |
| Pós-graduação | 527 | |
| Estudante de Graduação | 374 | |
| Mestrado | 201 | 11.4% |
| Doutorado ou Phd | 50 | 2.8% |
| Não tenho graduação formal | 34 | 1.9% |
| Prefiro não informar | 1 | 0.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| graduação/bacharelado | 578 | |
| pós-graduação | 527 | |
| graduação | 408 | |
| estudante | 374 | |
| de | 374 | |
| mestrado | 201 | 7.4% |
| doutorado | 50 | 1.8% |
| ou | 50 | 1.8% |
| phd | 50 | 1.8% |
| não | 35 | 1.3% |
| Other values (4) | 70 | 2.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 5420 | |
| d | 3140 | 10.3% |
| o | 2597 | 8.5% |
| r | 2380 | 7.8% |
| u | 1987 | 6.5% |
| e | 1562 | 5.1% |
| ã | 1548 | 5.1% |
| ç | 1513 | 5.0% |
| s | 1102 | 3.6% |
| t | 1033 | 3.4% |
| Other values (19) | 8247 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 25705 | |
| Uppercase Letter | 2767 | 9.1% |
| Space Separator | 952 | 3.1% |
| Other Punctuation | 578 | 1.9% |
| Dash Punctuation | 527 | 1.7% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 5420 | |
| d | 3140 | |
| o | 2597 | |
| r | 2380 | |
| u | 1987 | 7.7% |
| e | 1562 | 6.1% |
| ã | 1548 | 6.0% |
| ç | 1513 | 5.9% |
| s | 1102 | 4.3% |
| t | 1033 | 4.0% |
| Other values (9) | 3423 |
Uppercase Letter
| Value | Count | Frequency (%) |
| G | 952 | |
| P | 578 | |
| B | 578 | |
| E | 374 | 13.5% |
| M | 201 | 7.3% |
| D | 50 | 1.8% |
| N | 34 | 1.2% |
Space Separator
| Value | Count | Frequency (%) |
| 952 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 578 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 527 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 28472 | |
| Common | 2057 | 6.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 5420 | |
| d | 3140 | |
| o | 2597 | |
| r | 2380 | 8.4% |
| u | 1987 | 7.0% |
| e | 1562 | 5.5% |
| ã | 1548 | 5.4% |
| ç | 1513 | 5.3% |
| s | 1102 | 3.9% |
| t | 1033 | 3.6% |
| Other values (16) | 6190 |
Common
| Value | Count | Frequency (%) |
| 952 | ||
| / | 578 | |
| - | 527 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 26941 | |
| None | 3588 | 11.8% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 5420 | |
| d | 3140 | |
| o | 2597 | |
| r | 2380 | |
| u | 1987 | 7.4% |
| e | 1562 | 5.8% |
| s | 1102 | 4.1% |
| t | 1033 | 3.8% |
| G | 952 | 3.5% |
| 952 | 3.5% | |
| Other values (16) | 5816 |
None
| Value | Count | Frequency (%) |
| ã | 1548 | |
| ç | 1513 | |
| ó | 527 | 14.7% |
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| Empregado (CTL) | |
|---|---|
| Empreendedor ou Empregado (CNPJ) | |
| Estagiário | |
| Somente Estudante (graduação) | 85 |
| Desempregado, buscando recolocação | 69 |
| Other values (6) |
Length
| Max length | 45 |
|---|---|
| Median length | 15 |
| Mean length | 19.27988669 |
| Min length | 10 |
Characters and Unicode
| Total characters | 34029 |
|---|---|
| Distinct characters | 44 |
| Distinct categories | 7 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Empregado (CTL) |
|---|---|
| 2nd row | Empregado (CTL) |
| 3rd row | Empregado (CTL) |
| 4th row | Estagiário |
| 5th row | Freelancer |
Common Values
| Value | Count | Frequency (%) |
| Empregado (CTL) | 1073 | |
| Empreendedor ou Empregado (CNPJ) | 234 | 13.3% |
| Estagiário | 131 | 7.4% |
| Somente Estudante (graduação) | 85 | 4.8% |
| Desempregado, buscando recolocação | 69 | 3.9% |
| Servidor Público | 60 | 3.4% |
| Trabalho na área Acadêmica/Pesquisador | 45 | 2.5% |
| Somente Estudante (pós-graduação) | 36 | 2.0% |
| Freelancer | 23 | 1.3% |
| Prefiro não dizer | 6 | 0.3% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| empregado | 1307 | |
| ctl | 1073 | |
| empreendedor | 234 | 5.6% |
| ou | 234 | 5.6% |
| cnpj | 234 | 5.6% |
| estagiário | 131 | 3.2% |
| somente | 121 | 2.9% |
| estudante | 121 | 2.9% |
| graduação | 85 | 2.1% |
| desempregado | 72 | 1.7% |
| Other values (15) | 530 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 2897 | 8.5% |
| o | 2736 | 8.0% |
| r | 2490 | 7.3% |
| 2377 | 7.0% | |
| a | 2355 | 6.9% |
| d | 2317 | 6.8% |
| E | 1793 | 5.3% |
| m | 1779 | 5.2% |
| p | 1649 | 4.8% |
| g | 1631 | 4.8% |
| Other values (34) | 12005 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 22221 | |
| Uppercase Letter | 6425 | 18.9% |
| Space Separator | 2377 | 7.0% |
| Open Punctuation | 1428 | 4.2% |
| Close Punctuation | 1428 | 4.2% |
| Other Punctuation | 114 | 0.3% |
| Dash Punctuation | 36 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 2897 | |
| o | 2736 | |
| r | 2490 | |
| a | 2355 | |
| d | 2317 | |
| m | 1779 | |
| p | 1649 | |
| g | 1631 | |
| n | 625 | 2.8% |
| u | 596 | 2.7% |
| Other values (17) | 3146 |
Uppercase Letter
| Value | Count | Frequency (%) |
| E | 1793 | |
| C | 1307 | |
| T | 1118 | |
| L | 1073 | |
| P | 345 | 5.4% |
| J | 234 | 3.6% |
| N | 234 | 3.6% |
| S | 181 | 2.8% |
| D | 72 | 1.1% |
| A | 45 | 0.7% |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 69 | |
| / | 45 |
Space Separator
| Value | Count | Frequency (%) |
| 2377 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 1428 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 1428 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 36 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 28646 | |
| Common | 5383 | 15.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 2897 | 10.1% |
| o | 2736 | 9.6% |
| r | 2490 | 8.7% |
| a | 2355 | 8.2% |
| d | 2317 | 8.1% |
| E | 1793 | 6.3% |
| m | 1779 | 6.2% |
| p | 1649 | 5.8% |
| g | 1631 | 5.7% |
| C | 1307 | 4.6% |
| Other values (28) | 7692 |
Common
| Value | Count | Frequency (%) |
| 2377 | ||
| ( | 1428 | |
| ) | 1428 | |
| , | 69 | 1.3% |
| / | 45 | 0.8% |
| - | 36 | 0.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 33317 | |
| None | 712 | 2.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 2897 | 8.7% |
| o | 2736 | 8.2% |
| r | 2490 | 7.5% |
| 2377 | 7.1% | |
| a | 2355 | 7.1% |
| d | 2317 | 7.0% |
| E | 1793 | 5.4% |
| m | 1779 | 5.3% |
| p | 1649 | 4.9% |
| g | 1631 | 4.9% |
| Other values (28) | 11293 |
None
| Value | Count | Frequency (%) |
| ã | 202 | |
| ç | 193 | |
| á | 176 | |
| ú | 60 | 8.4% |
| ê | 45 | 6.3% |
| ó | 36 | 5.1% |
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 238 |
| Missing (%) | 13.5% |
| Memory size | 13.9 KiB |
| Acima de 3000 | |
|---|---|
| de 101 a 500 | |
| de 11 a 50 | |
| de 501 a 1000 | |
| de 1001 a 3000 | |
| Other values (3) |
Length
| Max length | 14 |
|---|---|
| Median length | 13 |
| Mean length | 11.92534381 |
| Min length | 8 |
Characters and Unicode
| Total characters | 18210 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | de 1 a 5 |
|---|---|
| 2nd row | Acima de 3000 |
| 3rd row | Acima de 3000 |
| 4th row | de 11 a 50 |
| 5th row | de 6 a 10 |
Common Values
| Value | Count | Frequency (%) |
| Acima de 3000 | 393 | |
| de 101 a 500 | 333 | |
| de 11 a 50 | 204 | |
| de 501 a 1000 | 172 | |
| de 1001 a 3000 | 164 | |
| de 51 a 100 | 128 | 7.3% |
| de 1 a 5 | 72 | 4.1% |
| de 6 a 10 | 61 | 3.5% |
| (Missing) | 238 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| de | 1527 | |
| a | 1134 | |
| 3000 | 557 | 9.7% |
| acima | 393 | 6.9% |
| 101 | 333 | 5.8% |
| 500 | 333 | 5.8% |
| 11 | 204 | 3.6% |
| 50 | 204 | 3.6% |
| 1000 | 172 | 3.0% |
| 501 | 172 | 3.0% |
| Other values (7) | 686 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4207 | |
| 4188 | ||
| 1 | 2135 | |
| a | 1527 | 8.4% |
| d | 1527 | 8.4% |
| e | 1527 | 8.4% |
| 5 | 909 | 5.0% |
| 3 | 557 | 3.1% |
| A | 393 | 2.2% |
| c | 393 | 2.2% |
| Other values (3) | 847 | 4.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7869 | |
| Lowercase Letter | 5760 | |
| Space Separator | 4188 | |
| Uppercase Letter | 393 | 2.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1527 | |
| d | 1527 | |
| e | 1527 | |
| c | 393 | 6.8% |
| i | 393 | 6.8% |
| m | 393 | 6.8% |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 4207 | |
| 1 | 2135 | |
| 5 | 909 | 11.6% |
| 3 | 557 | 7.1% |
| 6 | 61 | 0.8% |
Space Separator
| Value | Count | Frequency (%) |
| 4188 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 393 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 12057 | |
| Latin | 6153 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1527 | |
| d | 1527 | |
| e | 1527 | |
| A | 393 | 6.4% |
| c | 393 | 6.4% |
| i | 393 | 6.4% |
| m | 393 | 6.4% |
Common
| Value | Count | Frequency (%) |
| 0 | 4207 | |
| 4188 | ||
| 1 | 2135 | |
| 5 | 909 | 7.5% |
| 3 | 557 | 4.6% |
| 6 | 61 | 0.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 18210 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 4207 | |
| 4188 | ||
| 1 | 2135 | |
| a | 1527 | 8.4% |
| d | 1527 | 8.4% |
| e | 1527 | 8.4% |
| 5 | 909 | 5.0% |
| 3 | 557 | 3.1% |
| A | 393 | 2.2% |
| c | 393 | 2.2% |
| Other values (3) | 847 | 4.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 238 |
| Missing (%) | 13.5% |
| Memory size | 13.9 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 4581 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 1222 | |
| 1.0 | 305 | 17.3% |
| (Missing) | 238 | 13.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0.0 | 1222 | |
| 1.0 | 305 | 20.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2749 | |
| . | 1527 | |
| 1 | 305 | 6.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3054 | |
| Other Punctuation | 1527 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2749 | |
| 1 | 305 | 10.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 1527 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 4581 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2749 | |
| . | 1527 | |
| 1 | 305 | 6.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4581 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2749 | |
| . | 1527 | |
| 1 | 305 | 6.7% |
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 238 |
| Missing (%) | 13.5% |
| Memory size | 13.9 KiB |
| de R$ 4.001/mês a R$ 6.000/mês | |
|---|---|
| de R$ 8.001/mês a R$ 12.000/mês | |
| de R$ 6.001/mês a R$ 8.000/mês | |
| de R$ 3.001/mês a R$ 4.000/mês | |
| de R$ 1.001/mês a R$ 2.000/mês | |
| Other values (6) |
Length
| Max length | 32 |
|---|---|
| Median length | 30 |
| Mean length | 29.89194499 |
| Min length | 21 |
Characters and Unicode
| Total characters | 45645 |
|---|---|
| Distinct characters | 25 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | de R$ 1.001/mês a R$ 2.000/mês |
|---|---|
| 2nd row | de R$ 2.001/mês a R$ 3000/mês |
| 3rd row | de R$ 4.001/mês a R$ 6.000/mês |
| 4th row | de R$ 1.001/mês a R$ 2.000/mês |
| 5th row | de R$ 6.001/mês a R$ 8.000/mês |
Common Values
| Value | Count | Frequency (%) |
| de R$ 4.001/mês a R$ 6.000/mês | 308 | |
| de R$ 8.001/mês a R$ 12.000/mês | 237 | |
| de R$ 6.001/mês a R$ 8.000/mês | 229 | |
| de R$ 3.001/mês a R$ 4.000/mês | 219 | |
| de R$ 1.001/mês a R$ 2.000/mês | 181 | |
| de R$ 2.001/mês a R$ 3000/mês | 150 | |
| de R$ 12.001/mês a R$ 16.000/mês | 82 | 4.6% |
| Menos de R$ 1.000/mês | 48 | 2.7% |
| de R$ 16.001/mês a R$ 20.000/mês | 45 | 2.5% |
| de R$ 20.001/mês a R$ 25.000/mês | 15 | 0.8% |
| (Missing) | 238 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| r | 2993 | |
| de | 1527 | |
| a | 1466 | |
| 4.001/mês | 308 | 3.4% |
| 6.000/mês | 308 | 3.4% |
| 8.001/mês | 237 | 2.6% |
| 12.000/mês | 237 | 2.6% |
| 6.001/mês | 229 | 2.5% |
| 8.000/mês | 229 | 2.5% |
| 3.001/mês | 219 | 2.4% |
| Other values (15) | 1287 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 7560 | |
| 7513 | ||
| s | 3041 | |
| m | 3006 | 6.6% |
| ê | 2993 | 6.6% |
| R | 2993 | 6.6% |
| $ | 2993 | 6.6% |
| / | 2993 | 6.6% |
| . | 2843 | 6.2% |
| 1 | 2154 | 4.7% |
| Other values (15) | 7556 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 13743 | |
| Decimal Number | 12506 | |
| Space Separator | 7513 | |
| Other Punctuation | 5836 | |
| Uppercase Letter | 3054 | 6.7% |
| Currency Symbol | 2993 | 6.6% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| s | 3041 | |
| m | 3006 | |
| ê | 2993 | |
| e | 1575 | |
| d | 1527 | |
| a | 1479 | |
| n | 48 | 0.3% |
| o | 48 | 0.3% |
| c | 13 | 0.1% |
| i | 13 | 0.1% |
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 7560 | |
| 1 | 2154 | 17.2% |
| 2 | 738 | 5.9% |
| 6 | 664 | 5.3% |
| 4 | 527 | 4.2% |
| 8 | 466 | 3.7% |
| 3 | 369 | 3.0% |
| 5 | 28 | 0.2% |
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 2993 | |
| M | 48 | 1.6% |
| A | 13 | 0.4% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 2993 | |
| . | 2843 |
Space Separator
| Value | Count | Frequency (%) |
| 7513 |
Currency Symbol
| Value | Count | Frequency (%) |
| $ | 2993 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 28848 | |
| Latin | 16797 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| s | 3041 | |
| m | 3006 | |
| ê | 2993 | |
| R | 2993 | |
| e | 1575 | |
| d | 1527 | |
| a | 1479 | |
| M | 48 | 0.3% |
| n | 48 | 0.3% |
| o | 48 | 0.3% |
| Other values (3) | 39 | 0.2% |
Common
| Value | Count | Frequency (%) |
| 0 | 7560 | |
| 7513 | ||
| $ | 2993 | 10.4% |
| / | 2993 | 10.4% |
| . | 2843 | 9.9% |
| 1 | 2154 | 7.5% |
| 2 | 738 | 2.6% |
| 6 | 664 | 2.3% |
| 4 | 527 | 1.8% |
| 8 | 466 | 1.6% |
| Other values (2) | 397 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 42652 | |
| None | 2993 | 6.6% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 7560 | |
| 7513 | ||
| s | 3041 | |
| m | 3006 | 7.0% |
| R | 2993 | 7.0% |
| $ | 2993 | 7.0% |
| / | 2993 | 7.0% |
| . | 2843 | 6.7% |
| 1 | 2154 | 5.1% |
| e | 1575 | 3.7% |
| Other values (14) | 5981 |
None
| Value | Count | Frequency (%) |
| ê | 2993 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| Menos de 1 ano | |
|---|---|
| de 1 a 2 anos | |
| de 2 a 3 anos | |
| Não tenho experiência na área de dados | |
| de 4 a 5 anos | |
| Other values (2) |
Length
| Max length | 38 |
|---|---|
| Median length | 15 |
| Mean length | 16.65042493 |
| Min length | 13 |
Characters and Unicode
| Total characters | 29388 |
|---|---|
| Distinct characters | 26 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Não tenho experiência na área de dados |
|---|---|
| 2nd row | Menos de 1 ano |
| 3rd row | de 1 a 2 anos |
| 4th row | Menos de 1 ano |
| 5th row | de 4 a 5 anos |
Common Values
| Value | Count | Frequency (%) |
| Menos de 1 ano | 445 | |
| de 1 a 2 anos | 343 | |
| de 2 a 3 anos | 244 | |
| Não tenho experiência na área de dados | 221 | |
| de 4 a 5 anos | 186 | |
| de 6 a 10 anos | 179 | |
| Mais de 10 anos | 147 | 8.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| de | 1765 | |
| anos | 1099 | |
| a | 952 | |
| 1 | 788 | |
| 2 | 587 | 6.8% |
| menos | 445 | 5.1% |
| ano | 445 | 5.1% |
| 10 | 326 | 3.8% |
| 3 | 244 | 2.8% |
| área | 221 | 2.5% |
| Other values (9) | 1803 |
Most occurring characters
| Value | Count | Frequency (%) |
| 6910 | ||
| a | 3527 | |
| e | 3094 | |
| n | 2652 | 9.0% |
| o | 2652 | 9.0% |
| d | 2207 | 7.5% |
| s | 1912 | 6.5% |
| 1 | 1114 | 3.8% |
| M | 592 | 2.0% |
| i | 589 | 2.0% |
| Other values (16) | 4139 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 18843 | |
| Space Separator | 6910 | 23.5% |
| Decimal Number | 2822 | 9.6% |
| Uppercase Letter | 813 | 2.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 3527 | |
| e | 3094 | |
| n | 2652 | |
| o | 2652 | |
| d | 2207 | |
| s | 1912 | |
| i | 589 | 3.1% |
| r | 442 | 2.3% |
| ã | 221 | 1.2% |
| h | 221 | 1.2% |
| Other values (6) | 1326 | 7.0% |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 1114 | |
| 2 | 587 | |
| 0 | 326 | 11.6% |
| 3 | 244 | 8.6% |
| 4 | 186 | 6.6% |
| 5 | 186 | 6.6% |
| 6 | 179 | 6.3% |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 592 | |
| N | 221 | 27.2% |
Space Separator
| Value | Count | Frequency (%) |
| 6910 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 19656 | |
| Common | 9732 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 3527 | |
| e | 3094 | |
| n | 2652 | |
| o | 2652 | |
| d | 2207 | |
| s | 1912 | |
| M | 592 | 3.0% |
| i | 589 | 3.0% |
| r | 442 | 2.2% |
| ã | 221 | 1.1% |
| Other values (8) | 1768 |
Common
| Value | Count | Frequency (%) |
| 6910 | ||
| 1 | 1114 | 11.4% |
| 2 | 587 | 6.0% |
| 0 | 326 | 3.3% |
| 3 | 244 | 2.5% |
| 4 | 186 | 1.9% |
| 5 | 186 | 1.9% |
| 6 | 179 | 1.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 28725 | |
| None | 663 | 2.3% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 6910 | ||
| a | 3527 | |
| e | 3094 | |
| n | 2652 | 9.2% |
| o | 2652 | 9.2% |
| d | 2207 | 7.7% |
| s | 1912 | 6.7% |
| 1 | 1114 | 3.9% |
| M | 592 | 2.1% |
| i | 589 | 2.1% |
| Other values (13) | 3476 |
None
| Value | Count | Frequency (%) |
| ã | 221 | |
| ê | 221 | |
| á | 221 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| Não tive experiência na área de TI/Engenharia de Software antes de começar a trabalhar na área de dados | |
|---|---|
| Menos de 1 ano | |
| de 1 a 2 anos | |
| de 6 a 10 anos | |
| Mais de 10 anos | |
| Other values (2) |
Length
| Max length | 103 |
|---|---|
| Median length | 15 |
| Mean length | 41.80056657 |
| Min length | 13 |
Characters and Unicode
| Total characters | 73778 |
|---|---|
| Distinct characters | 39 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Não tive experiência na área de TI/Engenharia de Software antes de começar a trabalhar na área de dados |
|---|---|
| 2nd row | Não tive experiência na área de TI/Engenharia de Software antes de começar a trabalhar na área de dados |
| 3rd row | de 6 a 10 anos |
| 4th row | de 2 a 3 anos |
| 5th row | de 4 a 5 anos |
Common Values
| Value | Count | Frequency (%) |
| Não tive experiência na área de TI/Engenharia de Software antes de começar a trabalhar na área de dados | 555 | |
| Menos de 1 ano | 333 | |
| de 1 a 2 anos | 210 | 11.9% |
| de 6 a 10 anos | 188 | 10.7% |
| Mais de 10 anos | 181 | 10.3% |
| de 4 a 5 anos | 161 | 9.1% |
| de 2 a 3 anos | 137 | 7.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| de | 3430 | |
| a | 1251 | 8.1% |
| na | 1110 | 7.1% |
| área | 1110 | 7.1% |
| anos | 877 | 5.6% |
| não | 555 | 3.6% |
| começar | 555 | 3.6% |
| tive | 555 | 3.6% |
| trabalhar | 555 | 3.6% |
| dados | 555 | 3.6% |
| Other values (14) | 4973 |
Most occurring characters
| Value | Count | Frequency (%) |
| 13761 | ||
| a | 10412 | |
| e | 8758 | |
| n | 4873 | 6.6% |
| d | 4540 | 6.2% |
| r | 4440 | 6.0% |
| o | 3763 | 5.1% |
| s | 2501 | 3.4% |
| i | 2401 | 3.3% |
| t | 2220 | 3.0% |
| Other values (29) | 16109 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 53898 | |
| Space Separator | 13761 | 18.7% |
| Uppercase Letter | 3289 | 4.5% |
| Decimal Number | 2275 | 3.1% |
| Other Punctuation | 555 | 0.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 10412 | |
| e | 8758 | |
| n | 4873 | |
| d | 4540 | |
| r | 4440 | |
| o | 3763 | 7.0% |
| s | 2501 | 4.6% |
| i | 2401 | 4.5% |
| t | 2220 | 4.1% |
| á | 1110 | 2.1% |
| Other values (14) | 8880 |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 912 | |
| 0 | 369 | |
| 2 | 347 | 15.3% |
| 6 | 188 | 8.3% |
| 4 | 161 | 7.1% |
| 5 | 161 | 7.1% |
| 3 | 137 | 6.0% |
Uppercase Letter
| Value | Count | Frequency (%) |
| N | 555 | |
| S | 555 | |
| E | 555 | |
| I | 555 | |
| T | 555 | |
| M | 514 |
Space Separator
| Value | Count | Frequency (%) |
| 13761 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 555 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 57187 | |
| Common | 16591 | 22.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 10412 | |
| e | 8758 | |
| n | 4873 | |
| d | 4540 | 7.9% |
| r | 4440 | 7.8% |
| o | 3763 | 6.6% |
| s | 2501 | 4.4% |
| i | 2401 | 4.2% |
| t | 2220 | 3.9% |
| á | 1110 | 1.9% |
| Other values (20) | 12169 |
Common
| Value | Count | Frequency (%) |
| 13761 | ||
| 1 | 912 | 5.5% |
| / | 555 | 3.3% |
| 0 | 369 | 2.2% |
| 2 | 347 | 2.1% |
| 6 | 188 | 1.1% |
| 4 | 161 | 1.0% |
| 5 | 161 | 1.0% |
| 3 | 137 | 0.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 71003 | |
| None | 2775 | 3.8% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 13761 | ||
| a | 10412 | |
| e | 8758 | |
| n | 4873 | 6.9% |
| d | 4540 | 6.4% |
| r | 4440 | 6.3% |
| o | 3763 | 5.3% |
| s | 2501 | 3.5% |
| i | 2401 | 3.4% |
| t | 2220 | 3.1% |
| Other values (25) | 13334 |
None
| Value | Count | Frequency (%) |
| á | 1110 | |
| ç | 555 | |
| ã | 555 | |
| ê | 555 |
('P19', 'is_data_science_professional')
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 915 | |
| 0 | 850 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 915 | |
| 0 | 850 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 915 | |
| 0 | 850 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 915 | |
| 0 | 850 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 915 | |
| 0 | 850 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 915 | |
| 0 | 850 |
('P20', 'linear_regression')
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1241 | |
| 1 | 524 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1241 | |
| 1 | 524 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1241 | |
| 1 | 524 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1241 | |
| 1 | 524 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1241 | |
| 1 | 524 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1241 | |
| 1 | 524 |
('P20', 'logistic_regression')
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1359 | |
| 1 | 406 | 23.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1359 | |
| 1 | 406 | 23.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1359 | |
| 1 | 406 | 23.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1359 | |
| 1 | 406 | 23.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1359 | |
| 1 | 406 | 23.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1359 | |
| 1 | 406 | 23.0% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 134 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1631 | |
| 1 | 134 | 7.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1631 | |
| 1 | 134 | 7.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1631 | |
| 1 | 134 | 7.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1631 | |
| 1 | 134 | 7.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1631 | |
| 1 | 134 | 7.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1631 | |
| 1 | 134 | 7.6% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1324 | |
| 1 | 441 | 25.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1324 | |
| 1 | 441 | 25.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1324 | |
| 1 | 441 | 25.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1324 | |
| 1 | 441 | 25.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1324 | |
| 1 | 441 | 25.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1324 | |
| 1 | 441 | 25.0% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1406 | |
| 1 | 359 | 20.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1406 | |
| 1 | 359 | 20.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1406 | |
| 1 | 359 | 20.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1406 | |
| 1 | 359 | 20.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1406 | |
| 1 | 359 | 20.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1406 | |
| 1 | 359 | 20.3% |
('P20', 'neural_networks')
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1498 | |
| 1 | 267 | 15.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1498 | |
| 1 | 267 | 15.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1498 | |
| 1 | 267 | 15.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1498 | |
| 1 | 267 | 15.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1498 | |
| 1 | 267 | 15.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1498 | |
| 1 | 267 | 15.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1541 | |
| 1 | 224 | 12.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1541 | |
| 1 | 224 | 12.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1541 | |
| 1 | 224 | 12.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1541 | |
| 1 | 224 | 12.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1541 | |
| 1 | 224 | 12.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1541 | |
| 1 | 224 | 12.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1596 | |
| 1 | 169 | 9.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1596 | |
| 1 | 169 | 9.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1596 | |
| 1 | 169 | 9.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1596 | |
| 1 | 169 | 9.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1596 | |
| 1 | 169 | 9.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1596 | |
| 1 | 169 | 9.6% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1585 | |
| 1 | 180 | 10.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1585 | |
| 1 | 180 | 10.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1585 | |
| 1 | 180 | 10.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1585 | |
| 1 | 180 | 10.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1585 | |
| 1 | 180 | 10.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1585 | |
| 1 | 180 | 10.2% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 101 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1664 | |
| 1 | 101 | 5.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1664 | |
| 1 | 101 | 5.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1664 | |
| 1 | 101 | 5.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1664 | |
| 1 | 101 | 5.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1664 | |
| 1 | 101 | 5.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1664 | |
| 1 | 101 | 5.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 98 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1667 | |
| 1 | 98 | 5.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1667 | |
| 1 | 98 | 5.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1667 | |
| 1 | 98 | 5.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1667 | |
| 1 | 98 | 5.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1667 | |
| 1 | 98 | 5.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1667 | |
| 1 | 98 | 5.6% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 18 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1747 | |
| 1 | 18 | 1.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1747 | |
| 1 | 18 | 1.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1747 | |
| 1 | 18 | 1.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1747 | |
| 1 | 18 | 1.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1747 | |
| 1 | 18 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1747 | |
| 1 | 18 | 1.0% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 24 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1741 | |
| 1 | 24 | 1.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1741 | |
| 1 | 24 | 1.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1741 | |
| 1 | 24 | 1.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1741 | |
| 1 | 24 | 1.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1741 | |
| 1 | 24 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1741 | |
| 1 | 24 | 1.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 79 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1686 | |
| 1 | 79 | 4.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1686 | |
| 1 | 79 | 4.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1686 | |
| 1 | 79 | 4.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1686 | |
| 1 | 79 | 4.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1686 | |
| 1 | 79 | 4.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1686 | |
| 1 | 79 | 4.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1513 | |
| 1 | 252 | 14.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1513 | |
| 1 | 252 | 14.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1513 | |
| 1 | 252 | 14.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1513 | |
| 1 | 252 | 14.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1513 | |
| 1 | 252 | 14.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1513 | |
| 1 | 252 | 14.3% |
('P20', 'gradient_boosted_machines')
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1588 | |
| 1 | 177 | 10.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1588 | |
| 1 | 177 | 10.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1588 | |
| 1 | 177 | 10.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1588 | |
| 1 | 177 | 10.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1588 | |
| 1 | 177 | 10.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1588 | |
| 1 | 177 | 10.0% |
('P20', 'cluster_analysis')
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1397 | |
| 1 | 368 | 20.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1397 | |
| 1 | 368 | 20.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1397 | |
| 1 | 368 | 20.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1397 | |
| 1 | 368 | 20.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1397 | |
| 1 | 368 | 20.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1397 | |
| 1 | 368 | 20.8% |
('P20', 'survival_analysis')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 72 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1693 | |
| 1 | 72 | 4.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1693 | |
| 1 | 72 | 4.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1693 | |
| 1 | 72 | 4.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1693 | |
| 1 | 72 | 4.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1693 | |
| 1 | 72 | 4.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1693 | |
| 1 | 72 | 4.1% |
('P20', 'longitudinal_data_analysis')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 101 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1664 | |
| 1 | 101 | 5.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1664 | |
| 1 | 101 | 5.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1664 | |
| 1 | 101 | 5.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1664 | |
| 1 | 101 | 5.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1664 | |
| 1 | 101 | 5.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1664 | |
| 1 | 101 | 5.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 79 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1686 | |
| 1 | 79 | 4.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1686 | |
| 1 | 79 | 4.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1686 | |
| 1 | 79 | 4.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1686 | |
| 1 | 79 | 4.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1686 | |
| 1 | 79 | 4.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1686 | |
| 1 | 79 | 4.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1573 | |
| 1 | 192 | 10.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1573 | |
| 1 | 192 | 10.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1573 | |
| 1 | 192 | 10.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1573 | |
| 1 | 192 | 10.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1573 | |
| 1 | 192 | 10.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1573 | |
| 1 | 192 | 10.9% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1051 | |
| 1 | 714 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1051 | |
| 1 | 714 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1051 | |
| 1 | 714 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1051 | |
| 1 | 714 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1051 | |
| 1 | 714 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1051 | |
| 1 | 714 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1447 | |
| 1 | 318 | 18.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1447 | |
| 1 | 318 | 18.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1447 | |
| 1 | 318 | 18.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1447 | |
| 1 | 318 | 18.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1447 | |
| 1 | 318 | 18.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1447 | |
| 1 | 318 | 18.0% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 981 | |
| 1 | 784 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 981 | |
| 1 | 784 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 981 | |
| 1 | 784 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 981 | |
| 1 | 784 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 981 | |
| 1 | 784 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 981 | |
| 1 | 784 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 65 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1700 | |
| 1 | 65 | 3.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1700 | |
| 1 | 65 | 3.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1700 | |
| 1 | 65 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1700 | |
| 1 | 65 | 3.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1700 | |
| 1 | 65 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1700 | |
| 1 | 65 | 3.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 35 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1730 | |
| 1 | 35 | 2.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1730 | |
| 1 | 35 | 2.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1730 | |
| 1 | 35 | 2.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1730 | |
| 1 | 35 | 2.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1730 | |
| 1 | 35 | 2.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1730 | |
| 1 | 35 | 2.0% |
('P21', 'java')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 89 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1676 | |
| 1 | 89 | 5.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1676 | |
| 1 | 89 | 5.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1676 | |
| 1 | 89 | 5.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1676 | |
| 1 | 89 | 5.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1676 | |
| 1 | 89 | 5.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1676 | |
| 1 | 89 | 5.0% |
('P21', 'julia')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 14 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1751 | |
| 1 | 14 | 0.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1751 | |
| 1 | 14 | 0.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1751 | |
| 1 | 14 | 0.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1751 | |
| 1 | 14 | 0.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1751 | |
| 1 | 14 | 0.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1751 | |
| 1 | 14 | 0.8% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 61 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1704 | |
| 1 | 61 | 3.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1704 | |
| 1 | 61 | 3.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1704 | |
| 1 | 61 | 3.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1704 | |
| 1 | 61 | 3.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1704 | |
| 1 | 61 | 3.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1704 | |
| 1 | 61 | 3.5% |
('P21', 'visual_basic_vba')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 84 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1681 | |
| 1 | 84 | 4.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1681 | |
| 1 | 84 | 4.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1681 | |
| 1 | 84 | 4.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1681 | |
| 1 | 84 | 4.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1681 | |
| 1 | 84 | 4.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1681 | |
| 1 | 84 | 4.8% |
('P21', 'scala')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 62 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1703 | |
| 1 | 62 | 3.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1703 | |
| 1 | 62 | 3.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1703 | |
| 1 | 62 | 3.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1703 | |
| 1 | 62 | 3.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1703 | |
| 1 | 62 | 3.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1703 | |
| 1 | 62 | 3.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 29 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1736 | |
| 1 | 29 | 1.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1736 | |
| 1 | 29 | 1.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1736 | |
| 1 | 29 | 1.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1736 | |
| 1 | 29 | 1.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1736 | |
| 1 | 29 | 1.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1736 | |
| 1 | 29 | 1.6% |
('P21', 'php')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 48 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1717 | |
| 1 | 48 | 2.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1717 | |
| 1 | 48 | 2.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1717 | |
| 1 | 48 | 2.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1717 | |
| 1 | 48 | 2.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1717 | |
| 1 | 48 | 2.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1717 | |
| 1 | 48 | 2.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 8 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1757 | |
| 1 | 8 | 0.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1757 | |
| 1 | 8 | 0.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1757 | |
| 1 | 8 | 0.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1757 | |
| 1 | 8 | 0.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1757 | |
| 1 | 8 | 0.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1757 | |
| 1 | 8 | 0.5% |
| Distinct | 9 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 859 |
| Missing (%) | 48.7% |
| Memory size | 13.9 KiB |
| Python | |
|---|---|
| SQL | |
| R | |
| SAS/Stata | 19 |
| Java | 17 |
| Other values (4) | 41 |
Length
| Max length | 43 |
|---|---|
| Median length | 6 |
| Mean length | 5.149006623 |
| Min length | 1 |
Characters and Unicode
| Total characters | 4665 |
|---|---|
| Distinct characters | 33 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Python |
|---|---|
| 2nd row | Python |
| 3rd row | SQL |
| 4th row | Python |
| 5th row | Java |
Common Values
| Value | Count | Frequency (%) |
| Python | 459 | |
| SQL | 279 | 15.8% |
| R | 91 | 5.2% |
| SAS/Stata | 19 | 1.1% |
| Java | 17 | 1.0% |
| Visual Basic/VBA | 12 | 0.7% |
| Scala | 10 | 0.6% |
| Não utilizo nenhuma das linguagens listadas | 10 | 0.6% |
| C/C++/C# | 9 | 0.5% |
| (Missing) | 859 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| python | 459 | |
| sql | 279 | |
| r | 91 | 9.4% |
| sas/stata | 19 | 2.0% |
| java | 17 | 1.8% |
| visual | 12 | 1.2% |
| basic/vba | 12 | 1.2% |
| scala | 10 | 1.0% |
| não | 10 | 1.0% |
| utilizo | 10 | 1.0% |
| Other values (5) | 49 | 5.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 517 | |
| n | 499 | |
| o | 479 | |
| h | 469 | |
| P | 459 | |
| y | 459 | |
| S | 346 | |
| Q | 279 | 6.0% |
| L | 279 | 6.0% |
| a | 166 | 3.6% |
| Other values (23) | 713 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2940 | |
| Uppercase Letter | 1587 | |
| Space Separator | 62 | 1.3% |
| Other Punctuation | 58 | 1.2% |
| Math Symbol | 18 | 0.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 517 | |
| n | 499 | |
| o | 479 | |
| h | 469 | |
| y | 459 | |
| a | 166 | 5.6% |
| s | 64 | 2.2% |
| i | 64 | 2.2% |
| l | 52 | 1.8% |
| u | 42 | 1.4% |
| Other values (8) | 129 | 4.4% |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 459 | |
| S | 346 | |
| Q | 279 | |
| L | 279 | |
| R | 91 | 5.7% |
| A | 31 | 2.0% |
| C | 27 | 1.7% |
| V | 24 | 1.5% |
| B | 24 | 1.5% |
| J | 17 | 1.1% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 49 | |
| # | 9 | 15.5% |
Space Separator
| Value | Count | Frequency (%) |
| 62 |
Math Symbol
| Value | Count | Frequency (%) |
| + | 18 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4527 | |
| Common | 138 | 3.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 517 | |
| n | 499 | |
| o | 479 | |
| h | 469 | |
| P | 459 | |
| y | 459 | |
| S | 346 | |
| Q | 279 | |
| L | 279 | |
| a | 166 | 3.7% |
| Other values (19) | 575 |
Common
| Value | Count | Frequency (%) |
| 62 | ||
| / | 49 | |
| + | 18 | 13.0% |
| # | 9 | 6.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4655 | |
| None | 10 | 0.2% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 517 | |
| n | 499 | |
| o | 479 | |
| h | 469 | |
| P | 459 | |
| y | 459 | |
| S | 346 | |
| Q | 279 | 6.0% |
| L | 279 | 6.0% |
| a | 166 | 3.6% |
| Other values (22) | 703 |
None
| Value | Count | Frequency (%) |
| ã | 10 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 931 | |
| 1 | 834 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 931 | |
| 1 | 834 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 931 | |
| 1 | 834 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 931 | |
| 1 | 834 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 931 | |
| 1 | 834 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 931 | |
| 1 | 834 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1388 | |
| 1 | 377 | 21.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1388 | |
| 1 | 377 | 21.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1388 | |
| 1 | 377 | 21.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1388 | |
| 1 | 377 | 21.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1388 | |
| 1 | 377 | 21.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1388 | |
| 1 | 377 | 21.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 160 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1605 | |
| 1 | 160 | 9.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1605 | |
| 1 | 160 | 9.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1605 | |
| 1 | 160 | 9.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1605 | |
| 1 | 160 | 9.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1605 | |
| 1 | 160 | 9.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1605 | |
| 1 | 160 | 9.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1435 | |
| 1 | 330 | 18.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1435 | |
| 1 | 330 | 18.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1435 | |
| 1 | 330 | 18.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1435 | |
| 1 | 330 | 18.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1435 | |
| 1 | 330 | 18.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1435 | |
| 1 | 330 | 18.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 36 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1007 | |
| 1 | 758 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1007 | |
| 1 | 758 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1007 | |
| 1 | 758 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1007 | |
| 1 | 758 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1007 | |
| 1 | 758 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1007 | |
| 1 | 758 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 35 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1730 | |
| 1 | 35 | 2.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1730 | |
| 1 | 35 | 2.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1730 | |
| 1 | 35 | 2.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1730 | |
| 1 | 35 | 2.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1730 | |
| 1 | 35 | 2.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1730 | |
| 1 | 35 | 2.0% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1084 | |
| 1 | 681 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1084 | |
| 1 | 681 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1084 | |
| 1 | 681 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1084 | |
| 1 | 681 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1084 | |
| 1 | 681 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1084 | |
| 1 | 681 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 136 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1629 | |
| 1 | 136 | 7.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1629 | |
| 1 | 136 | 7.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1629 | |
| 1 | 136 | 7.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1629 | |
| 1 | 136 | 7.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1629 | |
| 1 | 136 | 7.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1629 | |
| 1 | 136 | 7.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 22 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1743 | |
| 1 | 22 | 1.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1743 | |
| 1 | 22 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1743 | |
| 1 | 22 | 1.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1743 | |
| 1 | 22 | 1.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1743 | |
| 1 | 22 | 1.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1743 | |
| 1 | 22 | 1.2% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 84 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1681 | |
| 1 | 84 | 4.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1681 | |
| 1 | 84 | 4.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1681 | |
| 1 | 84 | 4.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1681 | |
| 1 | 84 | 4.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1681 | |
| 1 | 84 | 4.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1681 | |
| 1 | 84 | 4.8% |
('P24', 'vídeos')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 5 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1381 | |
| 1 | 384 | 21.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1381 | |
| 1 | 384 | 21.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1381 | |
| 1 | 384 | 21.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1381 | |
| 1 | 384 | 21.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1381 | |
| 1 | 384 | 21.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1381 | |
| 1 | 384 | 21.8% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 10 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1755 | |
| 1 | 10 | 0.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1755 | |
| 1 | 10 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1755 | |
| 1 | 10 | 0.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1755 | |
| 1 | 10 | 0.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1755 | |
| 1 | 10 | 0.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1755 | |
| 1 | 10 | 0.6% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1353 | |
| 1 | 412 | 23.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1353 | |
| 1 | 412 | 23.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1353 | |
| 1 | 412 | 23.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1353 | |
| 1 | 412 | 23.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1353 | |
| 1 | 412 | 23.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1353 | |
| 1 | 412 | 23.3% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1540 | |
| 1 | 225 | 12.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1540 | |
| 1 | 225 | 12.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1540 | |
| 1 | 225 | 12.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1540 | |
| 1 | 225 | 12.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1540 | |
| 1 | 225 | 12.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1540 | |
| 1 | 225 | 12.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1574 | |
| 1 | 191 | 10.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1574 | |
| 1 | 191 | 10.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1574 | |
| 1 | 191 | 10.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1574 | |
| 1 | 191 | 10.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1574 | |
| 1 | 191 | 10.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1574 | |
| 1 | 191 | 10.8% |
('P25', 'ibm')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 44 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1721 | |
| 1 | 44 | 2.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1721 | |
| 1 | 44 | 2.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1721 | |
| 1 | 44 | 2.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1721 | |
| 1 | 44 | 2.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1721 | |
| 1 | 44 | 2.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1721 | |
| 1 | 44 | 2.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 152 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1613 | |
| 1 | 152 | 8.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1613 | |
| 1 | 152 | 8.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1613 | |
| 1 | 152 | 8.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1613 | |
| 1 | 152 | 8.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1613 | |
| 1 | 152 | 8.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1613 | |
| 1 | 152 | 8.6% |
('P25', 'cloud_própria')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1602 | |
| 1 | 163 | 9.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1602 | |
| 1 | 163 | 9.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1602 | |
| 1 | 163 | 9.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1602 | |
| 1 | 163 | 9.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1602 | |
| 1 | 163 | 9.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1602 | |
| 1 | 163 | 9.2% |
('P25', 'other')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 69 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1696 | |
| 1 | 69 | 3.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1696 | |
| 1 | 69 | 3.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1696 | |
| 1 | 69 | 3.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1696 | |
| 1 | 69 | 3.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1696 | |
| 1 | 69 | 3.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1696 | |
| 1 | 69 | 3.9% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1399 | |
| 1 | 366 | 20.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1399 | |
| 1 | 366 | 20.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1399 | |
| 1 | 366 | 20.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1399 | |
| 1 | 366 | 20.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1399 | |
| 1 | 366 | 20.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1399 | |
| 1 | 366 | 20.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1544 | |
| 1 | 221 | 12.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1544 | |
| 1 | 221 | 12.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1544 | |
| 1 | 221 | 12.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1544 | |
| 1 | 221 | 12.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1544 | |
| 1 | 221 | 12.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1544 | |
| 1 | 221 | 12.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1431 | |
| 1 | 334 | 18.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1431 | |
| 1 | 334 | 18.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1431 | |
| 1 | 334 | 18.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1431 | |
| 1 | 334 | 18.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1431 | |
| 1 | 334 | 18.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1431 | |
| 1 | 334 | 18.9% |
('P26', 'aurora')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 23 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1742 | |
| 1 | 23 | 1.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1742 | |
| 1 | 23 | 1.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1742 | |
| 1 | 23 | 1.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1742 | |
| 1 | 23 | 1.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1742 | |
| 1 | 23 | 1.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1742 | |
| 1 | 23 | 1.3% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 41 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1724 | |
| 1 | 41 | 2.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1724 | |
| 1 | 41 | 2.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1724 | |
| 1 | 41 | 2.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1724 | |
| 1 | 41 | 2.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1724 | |
| 1 | 41 | 2.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1724 | |
| 1 | 41 | 2.3% |
('P26', 'coachdb')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 5 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
('P26', 'cassandra')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 27 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1738 | |
| 1 | 27 | 1.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1738 | |
| 1 | 27 | 1.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1738 | |
| 1 | 27 | 1.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1738 | |
| 1 | 27 | 1.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1738 | |
| 1 | 27 | 1.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1738 | |
| 1 | 27 | 1.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1558 | |
| 1 | 207 | 11.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1558 | |
| 1 | 207 | 11.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1558 | |
| 1 | 207 | 11.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1558 | |
| 1 | 207 | 11.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1558 | |
| 1 | 207 | 11.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1558 | |
| 1 | 207 | 11.7% |
('P26', 'mariadb')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 64 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1701 | |
| 1 | 64 | 3.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1701 | |
| 1 | 64 | 3.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1701 | |
| 1 | 64 | 3.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1701 | |
| 1 | 64 | 3.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1701 | |
| 1 | 64 | 3.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1701 | |
| 1 | 64 | 3.6% |
('P26', 'datomic')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 3 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1762 | |
| 1 | 3 | 0.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1762 | |
| 1 | 3 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1762 | |
| 1 | 3 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1762 | |
| 1 | 3 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1762 | |
| 1 | 3 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1762 | |
| 1 | 3 | 0.2% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1576 | |
| 1 | 189 | 10.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1576 | |
| 1 | 189 | 10.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1576 | |
| 1 | 189 | 10.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1576 | |
| 1 | 189 | 10.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1576 | |
| 1 | 189 | 10.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1576 | |
| 1 | 189 | 10.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1420 | |
| 1 | 345 | 19.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1420 | |
| 1 | 345 | 19.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1420 | |
| 1 | 345 | 19.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1420 | |
| 1 | 345 | 19.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1420 | |
| 1 | 345 | 19.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1420 | |
| 1 | 345 | 19.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 115 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1650 | |
| 1 | 115 | 6.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1650 | |
| 1 | 115 | 6.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1650 | |
| 1 | 115 | 6.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1650 | |
| 1 | 115 | 6.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1650 | |
| 1 | 115 | 6.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1650 | |
| 1 | 115 | 6.5% |
('P26', 'db2')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 39 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1726 | |
| 1 | 39 | 2.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1726 | |
| 1 | 39 | 2.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1726 | |
| 1 | 39 | 2.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1726 | |
| 1 | 39 | 2.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1726 | |
| 1 | 39 | 2.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1726 | |
| 1 | 39 | 2.2% |
('P26', 'ms_access')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 34 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1731 | |
| 1 | 34 | 1.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1731 | |
| 1 | 34 | 1.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1731 | |
| 1 | 34 | 1.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1731 | |
| 1 | 34 | 1.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1731 | |
| 1 | 34 | 1.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1731 | |
| 1 | 34 | 1.9% |
('P26', 'sqlite')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 102 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1663 | |
| 1 | 102 | 5.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1663 | |
| 1 | 102 | 5.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1663 | |
| 1 | 102 | 5.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1663 | |
| 1 | 102 | 5.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1663 | |
| 1 | 102 | 5.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1663 | |
| 1 | 102 | 5.8% |
('P26', 'sybase')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 18 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1747 | |
| 1 | 18 | 1.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1747 | |
| 1 | 18 | 1.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1747 | |
| 1 | 18 | 1.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1747 | |
| 1 | 18 | 1.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1747 | |
| 1 | 18 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1747 | |
| 1 | 18 | 1.0% |
('P26', 'firebase')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 40 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1725 | |
| 1 | 40 | 2.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1725 | |
| 1 | 40 | 2.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1725 | |
| 1 | 40 | 2.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1725 | |
| 1 | 40 | 2.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1725 | |
| 1 | 40 | 2.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1725 | |
| 1 | 40 | 2.3% |
('P26', 'vertica')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 5 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1760 | |
| 1 | 5 | 0.3% |
('P26', 'redis')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 44 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1721 | |
| 1 | 44 | 2.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1721 | |
| 1 | 44 | 2.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1721 | |
| 1 | 44 | 2.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1721 | |
| 1 | 44 | 2.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1721 | |
| 1 | 44 | 2.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1721 | |
| 1 | 44 | 2.5% |
('P26', 'neo4j')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 21 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1744 | |
| 1 | 21 | 1.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1744 | |
| 1 | 21 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1744 | |
| 1 | 21 | 1.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1744 | |
| 1 | 21 | 1.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1744 | |
| 1 | 21 | 1.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1744 | |
| 1 | 21 | 1.2% |
('P26', 'google_bigtable')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 36 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
('P26', 'hbase')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 33 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1732 | |
| 1 | 33 | 1.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1732 | |
| 1 | 33 | 1.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1732 | |
| 1 | 33 | 1.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1732 | |
| 1 | 33 | 1.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1732 | |
| 1 | 33 | 1.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1732 | |
| 1 | 33 | 1.9% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 94 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1671 | |
| 1 | 94 | 5.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1671 | |
| 1 | 94 | 5.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1671 | |
| 1 | 94 | 5.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1671 | |
| 1 | 94 | 5.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1671 | |
| 1 | 94 | 5.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1671 | |
| 1 | 94 | 5.3% |
('P27', 'microsoft_powerbi')
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1372 | |
| 1 | 393 | 22.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1372 | |
| 1 | 393 | 22.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1372 | |
| 1 | 393 | 22.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1372 | |
| 1 | 393 | 22.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1372 | |
| 1 | 393 | 22.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1372 | |
| 1 | 393 | 22.3% |
('P27', 'qlik_view_qlik_sense')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 95 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1670 | |
| 1 | 95 | 5.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1670 | |
| 1 | 95 | 5.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1670 | |
| 1 | 95 | 5.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1670 | |
| 1 | 95 | 5.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1670 | |
| 1 | 95 | 5.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1670 | |
| 1 | 95 | 5.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1556 | |
| 1 | 209 | 11.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1556 | |
| 1 | 209 | 11.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1556 | |
| 1 | 209 | 11.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1556 | |
| 1 | 209 | 11.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1556 | |
| 1 | 209 | 11.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1556 | |
| 1 | 209 | 11.8% |
('P27', 'metabase')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 144 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1621 | |
| 1 | 144 | 8.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1621 | |
| 1 | 144 | 8.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1621 | |
| 1 | 144 | 8.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1621 | |
| 1 | 144 | 8.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1621 | |
| 1 | 144 | 8.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1621 | |
| 1 | 144 | 8.2% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 17 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1748 | |
| 1 | 17 | 1.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1748 | |
| 1 | 17 | 1.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1748 | |
| 1 | 17 | 1.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1748 | |
| 1 | 17 | 1.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1748 | |
| 1 | 17 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1748 | |
| 1 | 17 | 1.0% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 26 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1739 | |
| 1 | 26 | 1.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1739 | |
| 1 | 26 | 1.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1739 | |
| 1 | 26 | 1.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1739 | |
| 1 | 26 | 1.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1739 | |
| 1 | 26 | 1.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1739 | |
| 1 | 26 | 1.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 27 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1738 | |
| 1 | 27 | 1.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1738 | |
| 1 | 27 | 1.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1738 | |
| 1 | 27 | 1.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1738 | |
| 1 | 27 | 1.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1738 | |
| 1 | 27 | 1.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1738 | |
| 1 | 27 | 1.5% |
('P27', 'ibm_analytics_cognos')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 20 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1745 | |
| 1 | 20 | 1.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1745 | |
| 1 | 20 | 1.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1745 | |
| 1 | 20 | 1.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1745 | |
| 1 | 20 | 1.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1745 | |
| 1 | 20 | 1.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1745 | |
| 1 | 20 | 1.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 17 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1748 | |
| 1 | 17 | 1.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1748 | |
| 1 | 17 | 1.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1748 | |
| 1 | 17 | 1.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1748 | |
| 1 | 17 | 1.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1748 | |
| 1 | 17 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1748 | |
| 1 | 17 | 1.0% |
('P27', 'oracle_business_intelligence')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 10 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1755 | |
| 1 | 10 | 0.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1755 | |
| 1 | 10 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1755 | |
| 1 | 10 | 0.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1755 | |
| 1 | 10 | 0.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1755 | |
| 1 | 10 | 0.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1755 | |
| 1 | 10 | 0.6% |
('P27', 'birst')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1763 | |
| 1 | 2 | 0.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1763 | |
| 1 | 2 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1763 | |
| 1 | 2 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1763 | |
| 1 | 2 | 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1763 | |
| 1 | 2 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1763 | |
| 1 | 2 | 0.1% |
('P27', 'looker')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 15 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1750 | |
| 1 | 15 | 0.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1750 | |
| 1 | 15 | 0.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1750 | |
| 1 | 15 | 0.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1750 | |
| 1 | 15 | 0.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1750 | |
| 1 | 15 | 0.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1750 | |
| 1 | 15 | 0.8% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 129 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1636 | |
| 1 | 129 | 7.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1636 | |
| 1 | 129 | 7.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1636 | |
| 1 | 129 | 7.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1636 | |
| 1 | 129 | 7.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1636 | |
| 1 | 129 | 7.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1636 | |
| 1 | 129 | 7.3% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 105 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1660 | |
| 1 | 105 | 5.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1660 | |
| 1 | 105 | 5.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1660 | |
| 1 | 105 | 5.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1660 | |
| 1 | 105 | 5.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1660 | |
| 1 | 105 | 5.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1660 | |
| 1 | 105 | 5.9% |
('P27', 'no_bi_tool_at_work')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1586 | |
| 1 | 179 | 10.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1586 | |
| 1 | 179 | 10.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1586 | |
| 1 | 179 | 10.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1586 | |
| 1 | 179 | 10.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1586 | |
| 1 | 179 | 10.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1586 | |
| 1 | 179 | 10.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 83 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1682 | |
| 1 | 83 | 4.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1682 | |
| 1 | 83 | 4.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1682 | |
| 1 | 83 | 4.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1682 | |
| 1 | 83 | 4.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1682 | |
| 1 | 83 | 4.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1682 | |
| 1 | 83 | 4.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1472 | |
| 1 | 293 | 16.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1472 | |
| 1 | 293 | 16.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1472 | |
| 1 | 293 | 16.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1472 | |
| 1 | 293 | 16.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1472 | |
| 1 | 293 | 16.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1472 | |
| 1 | 293 | 16.6% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 156 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1609 | |
| 1 | 156 | 8.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1609 | |
| 1 | 156 | 8.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1609 | |
| 1 | 156 | 8.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1609 | |
| 1 | 156 | 8.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1609 | |
| 1 | 156 | 8.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1609 | |
| 1 | 156 | 8.8% |
('P28', 'luigi')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 15 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1750 | |
| 1 | 15 | 0.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1750 | |
| 1 | 15 | 0.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1750 | |
| 1 | 15 | 0.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1750 | |
| 1 | 15 | 0.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1750 | |
| 1 | 15 | 0.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1750 | |
| 1 | 15 | 0.8% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 104 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1661 | |
| 1 | 104 | 5.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1661 | |
| 1 | 104 | 5.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1661 | |
| 1 | 104 | 5.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1661 | |
| 1 | 104 | 5.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1661 | |
| 1 | 104 | 5.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1661 | |
| 1 | 104 | 5.9% |
('P28', 'talend')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 42 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1723 | |
| 1 | 42 | 2.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1723 | |
| 1 | 42 | 2.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1723 | |
| 1 | 42 | 2.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1723 | |
| 1 | 42 | 2.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1723 | |
| 1 | 42 | 2.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1723 | |
| 1 | 42 | 2.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1595 | |
| 1 | 170 | 9.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1595 | |
| 1 | 170 | 9.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1595 | |
| 1 | 170 | 9.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1595 | |
| 1 | 170 | 9.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1595 | |
| 1 | 170 | 9.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1595 | |
| 1 | 170 | 9.6% |
('P28', 'alteryx')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 37 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1728 | |
| 1 | 37 | 2.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1728 | |
| 1 | 37 | 2.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1728 | |
| 1 | 37 | 2.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1728 | |
| 1 | 37 | 2.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1728 | |
| 1 | 37 | 2.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1728 | |
| 1 | 37 | 2.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 37 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1728 | |
| 1 | 37 | 2.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1728 | |
| 1 | 37 | 2.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1728 | |
| 1 | 37 | 2.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1728 | |
| 1 | 37 | 2.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1728 | |
| 1 | 37 | 2.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1728 | |
| 1 | 37 | 2.1% |
('P28', 'ibm_data_stage')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 39 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1726 | |
| 1 | 39 | 2.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1726 | |
| 1 | 39 | 2.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1726 | |
| 1 | 39 | 2.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1726 | |
| 1 | 39 | 2.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1726 | |
| 1 | 39 | 2.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1726 | |
| 1 | 39 | 2.2% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 24 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1741 | |
| 1 | 24 | 1.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1741 | |
| 1 | 24 | 1.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1741 | |
| 1 | 24 | 1.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1741 | |
| 1 | 24 | 1.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1741 | |
| 1 | 24 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1741 | |
| 1 | 24 | 1.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 126 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1639 | |
| 1 | 126 | 7.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1639 | |
| 1 | 126 | 7.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1639 | |
| 1 | 126 | 7.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1639 | |
| 1 | 126 | 7.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1639 | |
| 1 | 126 | 7.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1639 | |
| 1 | 126 | 7.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1560 | |
| 1 | 205 | 11.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1560 | |
| 1 | 205 | 11.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1560 | |
| 1 | 205 | 11.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1560 | |
| 1 | 205 | 11.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1560 | |
| 1 | 205 | 11.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1560 | |
| 1 | 205 | 11.6% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 972 |
| Missing (%) | 55.1% |
| Memory size | 13.9 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2379 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 1.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 461 | |
| 0.0 | 332 | 18.8% |
| (Missing) | 972 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 461 | |
| 0.0 | 332 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1125 | |
| . | 793 | |
| 1 | 461 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1586 | |
| Other Punctuation | 793 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1125 | |
| 1 | 461 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 793 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2379 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1125 | |
| . | 793 | |
| 1 | 461 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2379 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1125 | |
| . | 793 | |
| 1 | 461 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 54 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1711 | |
| 1 | 54 | 3.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1711 | |
| 1 | 54 | 3.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1711 | |
| 1 | 54 | 3.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1711 | |
| 1 | 54 | 3.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1711 | |
| 1 | 54 | 3.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1711 | |
| 1 | 54 | 3.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 92 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1673 | |
| 1 | 92 | 5.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1673 | |
| 1 | 92 | 5.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1673 | |
| 1 | 92 | 5.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1673 | |
| 1 | 92 | 5.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1673 | |
| 1 | 92 | 5.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1673 | |
| 1 | 92 | 5.2% |
('P30', 'snowflake')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 14 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1751 | |
| 1 | 14 | 0.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1751 | |
| 1 | 14 | 0.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1751 | |
| 1 | 14 | 0.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1751 | |
| 1 | 14 | 0.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1751 | |
| 1 | 14 | 0.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1751 | |
| 1 | 14 | 0.8% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 82 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1683 | |
| 1 | 82 | 4.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1683 | |
| 1 | 82 | 4.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1683 | |
| 1 | 82 | 4.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1683 | |
| 1 | 82 | 4.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1683 | |
| 1 | 82 | 4.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1683 | |
| 1 | 82 | 4.6% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 107 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1658 | |
| 1 | 107 | 6.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1658 | |
| 1 | 107 | 6.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1658 | |
| 1 | 107 | 6.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1658 | |
| 1 | 107 | 6.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1658 | |
| 1 | 107 | 6.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1658 | |
| 1 | 107 | 6.1% |
('P30', 'ibm')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 20 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1745 | |
| 1 | 20 | 1.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1745 | |
| 1 | 20 | 1.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1745 | |
| 1 | 20 | 1.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1745 | |
| 1 | 20 | 1.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1745 | |
| 1 | 20 | 1.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1745 | |
| 1 | 20 | 1.1% |
('P30', 'teradata')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 28 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1737 | |
| 1 | 28 | 1.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1737 | |
| 1 | 28 | 1.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1737 | |
| 1 | 28 | 1.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1737 | |
| 1 | 28 | 1.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1737 | |
| 1 | 28 | 1.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1737 | |
| 1 | 28 | 1.6% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 85 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1680 | |
| 1 | 85 | 4.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1680 | |
| 1 | 85 | 4.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1680 | |
| 1 | 85 | 4.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1680 | |
| 1 | 85 | 4.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1680 | |
| 1 | 85 | 4.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1680 | |
| 1 | 85 | 4.8% |
('P30', 'do_not_know')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 60 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1705 | |
| 1 | 60 | 3.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1705 | |
| 1 | 60 | 3.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1705 | |
| 1 | 60 | 3.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1705 | |
| 1 | 60 | 3.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1705 | |
| 1 | 60 | 3.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1705 | |
| 1 | 60 | 3.4% |
('P30', 'other')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 36 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1729 | |
| 1 | 36 | 2.0% |
('P31', 'data_hackers_blog')
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 1195 | |
| 0 | 570 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 1195 | |
| 0 | 570 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 1195 | |
| 0 | 570 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 1195 | |
| 0 | 570 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 1195 | |
| 0 | 570 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 1195 | |
| 0 | 570 |
('P31', 'data_hackers_podcast')
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 1096 | |
| 0 | 669 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 1096 | |
| 0 | 669 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 1096 | |
| 0 | 669 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 1096 | |
| 0 | 669 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 1096 | |
| 0 | 669 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 1096 | |
| 0 | 669 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 887 | |
| 1 | 878 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 887 | |
| 1 | 878 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 887 | |
| 1 | 878 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 887 | |
| 1 | 878 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 887 | |
| 1 | 878 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 887 | |
| 1 | 878 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1037 | |
| 1 | 728 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1037 | |
| 1 | 728 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1037 | |
| 1 | 728 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1037 | |
| 1 | 728 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1037 | |
| 1 | 728 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1037 | |
| 1 | 728 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 68 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1697 | |
| 1 | 68 | 3.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1697 | |
| 1 | 68 | 3.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1697 | |
| 1 | 68 | 3.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1697 | |
| 1 | 68 | 3.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1697 | |
| 1 | 68 | 3.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1697 | |
| 1 | 68 | 3.9% |
('P31', 'do_not_know_data_hackers')
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1490 | |
| 1 | 275 | 15.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1490 | |
| 1 | 275 | 15.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1490 | |
| 1 | 275 | 15.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1490 | |
| 1 | 275 | 15.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1490 | |
| 1 | 275 | 15.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1490 | |
| 1 | 275 | 15.6% |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| Podcast do Data Hackers | |
|---|---|
| Blog/Medium do Data Hackers | |
| Ainda não conhecia o Data Hackers | |
| Newsletter Semanal | |
| Canal do Slack |
Length
| Max length | 33 |
|---|---|
| Median length | 27 |
| Mean length | 23.70878187 |
| Min length | 14 |
Characters and Unicode
| Total characters | 41846 |
|---|---|
| Distinct characters | 30 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Ainda não conhecia o Data Hackers |
|---|---|
| 2nd row | Ainda não conhecia o Data Hackers |
| 3rd row | Newsletter Semanal |
| 4th row | Ainda não conhecia o Data Hackers |
| 5th row | Blog/Medium do Data Hackers |
Common Values
| Value | Count | Frequency (%) |
| Podcast do Data Hackers | 618 | |
| Blog/Medium do Data Hackers | 423 | |
| Ainda não conhecia o Data Hackers | 251 | |
| Newsletter Semanal | 229 | 13.0% |
| Canal do Slack | 205 | 11.6% |
| Bootcamp do Data Hackers | 39 | 2.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| data | 1331 | |
| hackers | 1331 | |
| do | 1285 | |
| podcast | 618 | |
| blog/medium | 423 | 6.1% |
| ainda | 251 | 3.6% |
| não | 251 | 3.6% |
| conhecia | 251 | 3.6% |
| o | 251 | 3.6% |
| newsletter | 229 | 3.3% |
| Other values (4) | 678 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 6225 | |
| 5134 | ||
| o | 3157 | 7.5% |
| e | 2921 | 7.0% |
| c | 2695 | 6.4% |
| d | 2577 | 6.2% |
| t | 2446 | 5.8% |
| s | 2178 | 5.2% |
| r | 1560 | 3.7% |
| k | 1536 | 3.7% |
| Other values (20) | 11417 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 31005 | |
| Uppercase Letter | 5284 | 12.6% |
| Space Separator | 5134 | 12.3% |
| Other Punctuation | 423 | 1.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 6225 | |
| o | 3157 | |
| e | 2921 | |
| c | 2695 | |
| d | 2577 | |
| t | 2446 | 7.9% |
| s | 2178 | 7.0% |
| r | 1560 | 5.0% |
| k | 1536 | 5.0% |
| l | 1291 | 4.2% |
| Other values (9) | 4419 |
Uppercase Letter
| Value | Count | Frequency (%) |
| H | 1331 | |
| D | 1331 | |
| P | 618 | |
| B | 462 | 8.7% |
| S | 434 | 8.2% |
| M | 423 | 8.0% |
| A | 251 | 4.8% |
| N | 229 | 4.3% |
| C | 205 | 3.9% |
Space Separator
| Value | Count | Frequency (%) |
| 5134 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 423 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 36289 | |
| Common | 5557 | 13.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 6225 | |
| o | 3157 | 8.7% |
| e | 2921 | 8.0% |
| c | 2695 | 7.4% |
| d | 2577 | 7.1% |
| t | 2446 | 6.7% |
| s | 2178 | 6.0% |
| r | 1560 | 4.3% |
| k | 1536 | 4.2% |
| H | 1331 | 3.7% |
| Other values (18) | 9663 |
Common
| Value | Count | Frequency (%) |
| 5134 | ||
| / | 423 | 7.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41595 | |
| None | 251 | 0.6% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 6225 | |
| 5134 | ||
| o | 3157 | 7.6% |
| e | 2921 | 7.0% |
| c | 2695 | 6.5% |
| d | 2577 | 6.2% |
| t | 2446 | 5.9% |
| s | 2178 | 5.2% |
| r | 1560 | 3.8% |
| k | 1536 | 3.7% |
| Other values (19) | 11166 |
None
| Value | Count | Frequency (%) |
| ã | 251 |
('P33', 'telegram_groups')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1289 | |
| 1 | 476 | 27.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1289 | |
| 1 | 476 | 27.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1289 | |
| 1 | 476 | 27.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1289 | |
| 1 | 476 | 27.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1289 | |
| 1 | 476 | 27.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1289 | |
| 1 | 476 | 27.0% |
('P33', 'whatsapp_groups')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1380 | |
| 1 | 385 | 21.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1380 | |
| 1 | 385 | 21.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1380 | |
| 1 | 385 | 21.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1380 | |
| 1 | 385 | 21.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1380 | |
| 1 | 385 | 21.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1380 | |
| 1 | 385 | 21.8% |
('P33', 'youtube_channels')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 1014 | |
| 0 | 751 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 1014 | |
| 0 | 751 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 1014 | |
| 0 | 751 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 1014 | |
| 0 | 751 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 1014 | |
| 0 | 751 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 1014 | |
| 0 | 751 |
('P33', 'other_brasilian_blogs')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1090 | |
| 1 | 675 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1090 | |
| 1 | 675 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1090 | |
| 1 | 675 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1090 | |
| 1 | 675 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1090 | |
| 1 | 675 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1090 | |
| 1 | 675 |
('P33', 'other_slack_channels')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 93 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1672 | |
| 1 | 93 | 5.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1672 | |
| 1 | 93 | 5.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1672 | |
| 1 | 93 | 5.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1672 | |
| 1 | 93 | 5.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1672 | |
| 1 | 93 | 5.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1672 | |
| 1 | 93 | 5.3% |
('P33', 'twitter')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1424 | |
| 1 | 341 | 19.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1424 | |
| 1 | 341 | 19.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1424 | |
| 1 | 341 | 19.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1424 | |
| 1 | 341 | 19.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1424 | |
| 1 | 341 | 19.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1424 | |
| 1 | 341 | 19.3% |
('P33', 'abroad_blogs')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 985 | |
| 1 | 780 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 985 | |
| 1 | 780 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 985 | |
| 1 | 780 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 985 | |
| 1 | 780 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 985 | |
| 1 | 780 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 985 | |
| 1 | 780 |
('P33', 'abroad_podcasts')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1313 | |
| 1 | 452 | 25.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1313 | |
| 1 | 452 | 25.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1313 | |
| 1 | 452 | 25.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1313 | |
| 1 | 452 | 25.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1313 | |
| 1 | 452 | 25.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1313 | |
| 1 | 452 | 25.6% |
('P33', 'meetups_and_events')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1003 | |
| 1 | 762 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1003 | |
| 1 | 762 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1003 | |
| 1 | 762 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1003 | |
| 1 | 762 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1003 | |
| 1 | 762 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1003 | |
| 1 | 762 |
('P33', 'only_data_hackers')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 138 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1627 | |
| 1 | 138 | 7.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1627 | |
| 1 | 138 | 7.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1627 | |
| 1 | 138 | 7.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1627 | |
| 1 | 138 | 7.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1627 | |
| 1 | 138 | 7.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1627 | |
| 1 | 138 | 7.8% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1599 | |
| 1 | 166 | 9.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1599 | |
| 1 | 166 | 9.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1599 | |
| 1 | 166 | 9.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1599 | |
| 1 | 166 | 9.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1599 | |
| 1 | 166 | 9.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1599 | |
| 1 | 166 | 9.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1238 | |
| 1 | 527 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1238 | |
| 1 | 527 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1238 | |
| 1 | 527 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1238 | |
| 1 | 527 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1238 | |
| 1 | 527 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1238 | |
| 1 | 527 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1072 | |
| 1 | 693 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1072 | |
| 1 | 693 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1072 | |
| 1 | 693 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1072 | |
| 1 | 693 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1072 | |
| 1 | 693 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1072 | |
| 1 | 693 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 1125 | |
| 0 | 640 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 1125 | |
| 0 | 640 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 1125 | |
| 0 | 640 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 1125 | |
| 0 | 640 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 1125 | |
| 0 | 640 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 1125 | |
| 0 | 640 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1464 | |
| 1 | 301 | 17.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1464 | |
| 1 | 301 | 17.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1464 | |
| 1 | 301 | 17.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1464 | |
| 1 | 301 | 17.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1464 | |
| 1 | 301 | 17.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1464 | |
| 1 | 301 | 17.1% |
('P34', 'edx')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1471 | |
| 1 | 294 | 16.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1471 | |
| 1 | 294 | 16.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1471 | |
| 1 | 294 | 16.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1471 | |
| 1 | 294 | 16.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1471 | |
| 1 | 294 | 16.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1471 | |
| 1 | 294 | 16.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1373 | |
| 1 | 392 | 22.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1373 | |
| 1 | 392 | 22.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1373 | |
| 1 | 392 | 22.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1373 | |
| 1 | 392 | 22.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1373 | |
| 1 | 392 | 22.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1373 | |
| 1 | 392 | 22.2% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 | 64 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1701 | |
| 1 | 64 | 3.6% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1701 | |
| 1 | 64 | 3.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1701 | |
| 1 | 64 | 3.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1701 | |
| 1 | 64 | 3.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1701 | |
| 1 | 64 | 3.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1701 | |
| 1 | 64 | 3.6% |
('P34', 'kaggle_learn')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1449 | |
| 1 | 316 | 17.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1449 | |
| 1 | 316 | 17.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1449 | |
| 1 | 316 | 17.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1449 | |
| 1 | 316 | 17.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1449 | |
| 1 | 316 | 17.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1449 | |
| 1 | 316 | 17.9% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1597 | |
| 1 | 168 | 9.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1597 | |
| 1 | 168 | 9.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1597 | |
| 1 | 168 | 9.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1597 | |
| 1 | 168 | 9.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1597 | |
| 1 | 168 | 9.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1597 | |
| 1 | 168 | 9.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1765 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1527 | |
| 1 | 238 | 13.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 1527 | |
| 1 | 238 | 13.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1527 | |
| 1 | 238 | 13.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1765 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1527 | |
| 1 | 238 | 13.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1765 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1527 | |
| 1 | 238 | 13.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1765 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1527 | |
| 1 | 238 | 13.5% |
| Distinct | 9 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 140 |
| Missing (%) | 7.9% |
| Memory size | 13.9 KiB |
| Udemy | |
|---|---|
| Coursera | |
| Udacity | |
| Nunca fiz cursos online | |
| DataCamp | |
| Other values (4) |
Length
| Max length | 23 |
|---|---|
| Median length | 12 |
| Mean length | 8.270769231 |
| Min length | 3 |
Characters and Unicode
| Total characters | 13440 |
|---|---|
| Distinct characters | 28 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Nunca fiz cursos online |
|---|---|
| 2nd row | Udemy |
| 3rd row | Alura |
| 4th row | Udemy |
| 5th row | Udemy |
Common Values
| Value | Count | Frequency (%) |
| Udemy | 466 | |
| Coursera | 309 | |
| Udacity | 238 | |
| Nunca fiz cursos online | 162 | 9.2% |
| DataCamp | 162 | 9.2% |
| Alura | 138 | 7.8% |
| Kaggle Learn | 74 | 4.2% |
| edX | 52 | 2.9% |
| DataQuest | 24 | 1.4% |
| (Missing) | 140 | 7.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| udemy | 466 | |
| coursera | 309 | |
| udacity | 238 | |
| nunca | 162 | 7.4% |
| fiz | 162 | 7.4% |
| cursos | 162 | 7.4% |
| online | 162 | 7.4% |
| datacamp | 162 | 7.4% |
| alura | 138 | 6.3% |
| kaggle | 74 | 3.4% |
| Other values (3) | 150 | 6.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1529 | 11.4% |
| e | 1161 | 8.6% |
| r | 992 | 7.4% |
| u | 795 | 5.9% |
| d | 756 | 5.6% |
| U | 704 | 5.2% |
| y | 704 | 5.2% |
| s | 657 | 4.9% |
| o | 633 | 4.7% |
| m | 628 | 4.7% |
| Other values (18) | 4881 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10995 | |
| Uppercase Letter | 1885 | 14.0% |
| Space Separator | 560 | 4.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1529 | |
| e | 1161 | |
| r | 992 | 9.0% |
| u | 795 | 7.2% |
| d | 756 | 6.9% |
| y | 704 | 6.4% |
| s | 657 | 6.0% |
| o | 633 | 5.8% |
| m | 628 | 5.7% |
| c | 562 | 5.1% |
| Other values (8) | 2578 |
Uppercase Letter
| Value | Count | Frequency (%) |
| U | 704 | |
| C | 471 | |
| D | 186 | 9.9% |
| N | 162 | 8.6% |
| A | 138 | 7.3% |
| K | 74 | 3.9% |
| L | 74 | 3.9% |
| X | 52 | 2.8% |
| Q | 24 | 1.3% |
Space Separator
| Value | Count | Frequency (%) |
| 560 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12880 | |
| Common | 560 | 4.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1529 | 11.9% |
| e | 1161 | 9.0% |
| r | 992 | 7.7% |
| u | 795 | 6.2% |
| d | 756 | 5.9% |
| U | 704 | 5.5% |
| y | 704 | 5.5% |
| s | 657 | 5.1% |
| o | 633 | 4.9% |
| m | 628 | 4.9% |
| Other values (17) | 4321 |
Common
| Value | Count | Frequency (%) |
| 560 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13440 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1529 | 11.4% |
| e | 1161 | 8.6% |
| r | 992 | 7.4% |
| u | 795 | 5.9% |
| d | 756 | 5.6% |
| U | 704 | 5.2% |
| y | 704 | 5.2% |
| s | 657 | 4.9% |
| o | 633 | 4.7% |
| m | 628 | 4.7% |
| Other values (18) | 4881 |
| Distinct | 70 |
|---|---|
| Distinct (%) | 50.0% |
| Missing | 1625 |
| Missing (%) | 92.1% |
| Memory size | 13.9 KiB |
| Data Science Academy | |
|---|---|
| DSA | |
| DataScienceAcademy | 5 |
| Datascienceacademy | 4 |
| Data science academy | 3 |
| Other values (65) |
Length
| Max length | 78 |
|---|---|
| Median length | 58 |
| Mean length | 15.82857143 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2216 |
|---|---|
| Distinct characters | 51 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 60 ? |
|---|---|
| Unique (%) | 42.9% |
Sample
| 1st row | Data Science Academy |
|---|---|
| 2nd row | Digital House |
| 3rd row | Cognitive Class.ai |
| 4th row | DSA |
| 5th row | cognitiveclass.ai |
Common Values
| Value | Count | Frequency (%) |
| Data Science Academy | 43 | 2.4% |
| DSA | 14 | 0.8% |
| DataScienceAcademy | 5 | 0.3% |
| Datascienceacademy | 4 | 0.2% |
| Data science academy | 3 | 0.2% |
| Minerando Dados | 3 | 0.2% |
| Data science Academy | 2 | 0.1% |
| Nenhuma | 2 | 0.1% |
| data science academy | 2 | 0.1% |
| Minerando dados | 2 | 0.1% |
| Other values (60) | 60 | 3.4% |
| (Missing) | 1625 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| academy | 59 | |
| data | 58 | |
| science | 55 | |
| dsa | 18 | 5.6% |
| datascienceacademy | 10 | 3.1% |
| dados | 7 | 2.2% |
| não | 7 | 2.2% |
| minerando | 7 | 2.2% |
| tenho | 4 | 1.2% |
| nenhuma | 3 | 0.9% |
| Other values (76) | 93 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 298 | |
| e | 266 | |
| c | 226 | 10.2% |
| 186 | 8.4% | |
| i | 126 | 5.7% |
| d | 115 | 5.2% |
| n | 115 | 5.2% |
| t | 97 | 4.4% |
| D | 94 | 4.2% |
| m | 85 | 3.8% |
| Other values (41) | 608 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1698 | |
| Uppercase Letter | 322 | 14.5% |
| Space Separator | 186 | 8.4% |
| Other Punctuation | 10 | 0.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 298 | |
| e | 266 | |
| c | 226 | |
| i | 126 | |
| d | 115 | 6.8% |
| n | 115 | 6.8% |
| t | 97 | 5.7% |
| m | 85 | 5.0% |
| y | 74 | 4.4% |
| o | 70 | 4.1% |
| Other values (19) | 226 |
Uppercase Letter
| Value | Count | Frequency (%) |
| D | 94 | |
| A | 80 | |
| S | 78 | |
| N | 10 | 3.1% |
| M | 9 | 2.8% |
| I | 8 | 2.5% |
| C | 8 | 2.5% |
| P | 6 | 1.9% |
| L | 5 | 1.6% |
| B | 4 | 1.2% |
| Other values (9) | 20 | 6.2% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 9 | |
| , | 1 | 10.0% |
Space Separator
| Value | Count | Frequency (%) |
| 186 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2020 | |
| Common | 196 | 8.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 298 | |
| e | 266 | |
| c | 226 | |
| i | 126 | 6.2% |
| d | 115 | 5.7% |
| n | 115 | 5.7% |
| t | 97 | 4.8% |
| D | 94 | 4.7% |
| m | 85 | 4.2% |
| A | 80 | 4.0% |
| Other values (38) | 518 |
Common
| Value | Count | Frequency (%) |
| 186 | ||
| . | 9 | 4.6% |
| , | 1 | 0.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2199 | |
| None | 17 | 0.8% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 298 | |
| e | 266 | |
| c | 226 | 10.3% |
| 186 | 8.5% | |
| i | 126 | 5.7% |
| d | 115 | 5.2% |
| n | 115 | 5.2% |
| t | 97 | 4.4% |
| D | 94 | 4.3% |
| m | 85 | 3.9% |
| Other values (36) | 591 |
None
| Value | Count | Frequency (%) |
| ã | 9 | |
| ç | 3 | 17.6% |
| ó | 2 | 11.8% |
| ê | 2 | 11.8% |
| á | 1 | 5.9% |
('P36', 'draw_participation')
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 4 |
| Missing (%) | 0.2% |
| Memory size | 13.9 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 5283 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 1432 | |
| 0.0 | 329 | 18.6% |
| (Missing) | 4 | 0.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 1432 | |
| 0.0 | 329 | 18.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2090 | |
| . | 1761 | |
| 1 | 1432 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3522 | |
| Other Punctuation | 1761 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2090 | |
| 1 | 1432 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 1761 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 5283 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2090 | |
| . | 1761 | |
| 1 | 1432 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 5283 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2090 | |
| . | 1761 | |
| 1 | 1432 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 337 |
| Missing (%) | 19.1% |
| Memory size | 13.9 KiB |
| Região Sudeste | |
|---|---|
| Região Sul |
Length
| Max length | 14 |
|---|---|
| Median length | 14 |
| Mean length | 13.2464986 |
| Min length | 10 |
Characters and Unicode
| Total characters | 18916 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Região Sudeste |
|---|---|
| 2nd row | Região Sudeste |
| 3rd row | Região Sudeste |
| 4th row | Região Sudeste |
| 5th row | Região Sul |
Common Values
| Value | Count | Frequency (%) |
| Região Sudeste | 1159 | |
| Região Sul | 269 | 15.2% |
| (Missing) | 337 | 19.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| região | 1428 | |
| sudeste | 1159 | |
| sul | 269 | 9.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 3746 | |
| R | 1428 | 7.5% |
| g | 1428 | 7.5% |
| i | 1428 | 7.5% |
| ã | 1428 | 7.5% |
| o | 1428 | 7.5% |
| 1428 | 7.5% | |
| S | 1428 | 7.5% |
| u | 1428 | 7.5% |
| d | 1159 | 6.1% |
| Other values (3) | 2587 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 14632 | |
| Uppercase Letter | 2856 | 15.1% |
| Space Separator | 1428 | 7.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 3746 | |
| g | 1428 | 9.8% |
| i | 1428 | 9.8% |
| ã | 1428 | 9.8% |
| o | 1428 | 9.8% |
| u | 1428 | 9.8% |
| d | 1159 | 7.9% |
| s | 1159 | 7.9% |
| t | 1159 | 7.9% |
| l | 269 | 1.8% |
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 1428 | |
| S | 1428 |
Space Separator
| Value | Count | Frequency (%) |
| 1428 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 17488 | |
| Common | 1428 | 7.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 3746 | |
| R | 1428 | 8.2% |
| g | 1428 | 8.2% |
| i | 1428 | 8.2% |
| ã | 1428 | 8.2% |
| o | 1428 | 8.2% |
| S | 1428 | 8.2% |
| u | 1428 | 8.2% |
| d | 1159 | 6.6% |
| s | 1159 | 6.6% |
| Other values (2) | 1428 | 8.2% |
Common
| Value | Count | Frequency (%) |
| 1428 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 17488 | |
| None | 1428 | 7.5% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 3746 | |
| R | 1428 | 8.2% |
| g | 1428 | 8.2% |
| i | 1428 | 8.2% |
| o | 1428 | 8.2% |
| 1428 | 8.2% | |
| S | 1428 | 8.2% |
| u | 1428 | 8.2% |
| d | 1159 | 6.6% |
| s | 1159 | 6.6% |
| Other values (2) | 1428 | 8.2% |
None
| Value | Count | Frequency (%) |
| ã | 1428 |
| Distinct | 5 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 1440 |
| Missing (%) | 81.6% |
| Memory size | 13.9 KiB |
| Região Sudeste | |
|---|---|
| Região Nordeste | |
| Região Sul | |
| Região Centro-Oeste | |
| Região Norte |
Length
| Max length | 19 |
|---|---|
| Median length | 15 |
| Mean length | 13.90461538 |
| Min length | 10 |
Characters and Unicode
| Total characters | 4519 |
|---|---|
| Distinct characters | 19 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Região Sudeste |
|---|---|
| 2nd row | Região Nordeste |
| 3rd row | Região Nordeste |
| 4th row | Região Nordeste |
| 5th row | Região Nordeste |
Common Values
| Value | Count | Frequency (%) |
| Região Sudeste | 154 | 8.7% |
| Região Nordeste | 77 | 4.4% |
| Região Sul | 51 | 2.9% |
| Região Centro-Oeste | 26 | 1.5% |
| Região Norte | 17 | 1.0% |
| (Missing) | 1440 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| região | 325 | |
| sudeste | 154 | |
| nordeste | 77 | 11.8% |
| sul | 51 | 7.8% |
| centro-oeste | 26 | 4.0% |
| norte | 17 | 2.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 882 | |
| o | 445 | |
| R | 325 | 7.2% |
| g | 325 | 7.2% |
| i | 325 | 7.2% |
| ã | 325 | 7.2% |
| 325 | 7.2% | |
| t | 300 | 6.6% |
| s | 257 | 5.7% |
| d | 231 | 5.1% |
| Other values (9) | 779 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3492 | |
| Uppercase Letter | 676 | 15.0% |
| Space Separator | 325 | 7.2% |
| Dash Punctuation | 26 | 0.6% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 882 | |
| o | 445 | |
| g | 325 | 9.3% |
| i | 325 | 9.3% |
| ã | 325 | 9.3% |
| t | 300 | 8.6% |
| s | 257 | 7.4% |
| d | 231 | 6.6% |
| u | 205 | 5.9% |
| r | 120 | 3.4% |
| Other values (2) | 77 | 2.2% |
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 325 | |
| S | 205 | |
| N | 94 | 13.9% |
| C | 26 | 3.8% |
| O | 26 | 3.8% |
Space Separator
| Value | Count | Frequency (%) |
| 325 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 26 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4168 | |
| Common | 351 | 7.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 882 | |
| o | 445 | |
| R | 325 | 7.8% |
| g | 325 | 7.8% |
| i | 325 | 7.8% |
| ã | 325 | 7.8% |
| t | 300 | 7.2% |
| s | 257 | 6.2% |
| d | 231 | 5.5% |
| u | 205 | 4.9% |
| Other values (7) | 548 |
Common
| Value | Count | Frequency (%) |
| 325 | ||
| - | 26 | 7.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4194 | |
| None | 325 | 7.2% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 882 | |
| o | 445 | |
| R | 325 | 7.7% |
| g | 325 | 7.7% |
| i | 325 | 7.7% |
| 325 | 7.7% | |
| t | 300 | 7.2% |
| s | 257 | 6.1% |
| d | 231 | 5.5% |
| u | 205 | 4.9% |
| Other values (8) | 574 |
None
| Value | Count | Frequency (%) |
| ã | 325 |
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 35 |
| Missing (%) | 2.0% |
| Memory size | 13.9 KiB |
| Computação / Engenharia de Software / Sistemas de Informação | |
|---|---|
| Outras Engenharias | |
| Economia/ Administração / Contabilidade / Finanças | |
| Estatística/ Matemática / Matemática Computacional | |
| Outras | 92 |
| Other values (3) | 100 |
Length
| Max length | 60 |
|---|---|
| Median length | 60 |
| Mean length | 47.90520231 |
| Min length | 6 |
Characters and Unicode
| Total characters | 82876 |
|---|---|
| Distinct characters | 38 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Computação / Engenharia de Software / Sistemas de Informação |
|---|---|
| 2nd row | Computação / Engenharia de Software / Sistemas de Informação |
| 3rd row | Outras Engenharias |
| 4th row | Computação / Engenharia de Software / Sistemas de Informação |
| 5th row | Computação / Engenharia de Software / Sistemas de Informação |
Common Values
| Value | Count | Frequency (%) |
| Computação / Engenharia de Software / Sistemas de Informação | 1013 | |
| Outras Engenharias | 247 | 14.0% |
| Economia/ Administração / Contabilidade / Finanças | 174 | 9.9% |
| Estatística/ Matemática / Matemática Computacional | 104 | 5.9% |
| Outras | 92 | 5.2% |
| Marketing / Publicidade / Comunicação / Jornalismo | 47 | 2.7% |
| Química / Física | 28 | 1.6% |
| Ciências Sociais | 25 | 1.4% |
| (Missing) | 35 | 2.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 2647 | ||
| de | 2026 | |
| computação | 1013 | 8.6% |
| engenharia | 1013 | 8.6% |
| software | 1013 | 8.6% |
| sistemas | 1013 | 8.6% |
| informação | 1013 | 8.6% |
| outras | 339 | 2.9% |
| engenharias | 247 | 2.1% |
| matemática | 208 | 1.8% |
| Other values (14) | 1198 |
Most occurring characters
| Value | Count | Frequency (%) |
| 10000 | 12.1% | |
| a | 9081 | 11.0% |
| o | 6182 | 7.5% |
| e | 5788 | 7.0% |
| n | 4673 | 5.6% |
| t | 4605 | 5.6% |
| i | 4124 | 5.0% |
| r | 3893 | 4.7% |
| m | 3821 | 4.6% |
| s | 3293 | 4.0% |
| Other values (28) | 27416 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 62894 | |
| Space Separator | 10000 | 12.1% |
| Uppercase Letter | 7057 | 8.5% |
| Other Punctuation | 2925 | 3.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 9081 | |
| o | 6182 | |
| e | 5788 | 9.2% |
| n | 4673 | 7.4% |
| t | 4605 | 7.3% |
| i | 4124 | 6.6% |
| r | 3893 | 6.2% |
| m | 3821 | 6.1% |
| s | 3293 | 5.2% |
| d | 2642 | 4.2% |
| Other values (15) | 14792 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 2051 | |
| E | 1538 | |
| C | 1363 | |
| I | 1013 | |
| O | 339 | 4.8% |
| M | 255 | 3.6% |
| F | 202 | 2.9% |
| A | 174 | 2.5% |
| P | 47 | 0.7% |
| J | 47 | 0.7% |
Space Separator
| Value | Count | Frequency (%) |
| 10000 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 2925 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 69951 | |
| Common | 12925 | 15.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 9081 | |
| o | 6182 | 8.8% |
| e | 5788 | 8.3% |
| n | 4673 | 6.7% |
| t | 4605 | 6.6% |
| i | 4124 | 5.9% |
| r | 3893 | 5.6% |
| m | 3821 | 5.5% |
| s | 3293 | 4.7% |
| d | 2642 | 3.8% |
| Other values (26) | 21849 |
Common
| Value | Count | Frequency (%) |
| 10000 | ||
| / | 2925 | 22.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 77815 | |
| None | 5061 | 6.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 10000 | ||
| a | 9081 | |
| o | 6182 | 7.9% |
| e | 5788 | 7.4% |
| n | 4673 | 6.0% |
| t | 4605 | 5.9% |
| i | 4124 | 5.3% |
| r | 3893 | 5.0% |
| m | 3821 | 4.9% |
| s | 3293 | 4.2% |
| Other values (23) | 22355 |
None
| Value | Count | Frequency (%) |
| ç | 2421 | |
| ã | 2247 | |
| á | 208 | 4.1% |
| í | 160 | 3.2% |
| ê | 25 | 0.5% |
| Distinct | 17 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 243 |
| Missing (%) | 13.8% |
| Memory size | 13.9 KiB |
| Tecnologia/Fábrica de Software | |
|---|---|
| Outras | |
| Finanças ou Bancos | |
| Setor Público | |
| Educação | |
| Other values (12) |
Length
| Max length | 30 |
|---|---|
| Median length | 22 |
| Mean length | 18.5978975 |
| Min length | 6 |
Characters and Unicode
| Total characters | 28306 |
|---|---|
| Distinct characters | 44 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Outras |
|---|---|
| 2nd row | Educação |
| 3rd row | Indústria (Manufatura) |
| 4th row | Tecnologia/Fábrica de Software |
| 5th row | Internet/Ecommerce |
Common Values
| Value | Count | Frequency (%) |
| Tecnologia/Fábrica de Software | 501 | |
| Outras | 183 | 10.4% |
| Finanças ou Bancos | 182 | 10.3% |
| Setor Público | 89 | 5.0% |
| Educação | 86 | 4.9% |
| Indústria (Manufatura) | 78 | 4.4% |
| Varejo | 73 | 4.1% |
| Marketing | 72 | 4.1% |
| Área da Saúde | 63 | 3.6% |
| Internet/Ecommerce | 60 | 3.4% |
| Other values (7) | 135 | 7.6% |
| (Missing) | 243 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| tecnologia/fábrica | 501 | |
| de | 501 | |
| software | 501 | |
| ou | 216 | 6.6% |
| outras | 183 | 5.6% |
| finanças | 182 | 5.5% |
| bancos | 182 | 5.5% |
| setor | 132 | 4.0% |
| público | 89 | 2.7% |
| educação | 86 | 2.6% |
| Other values (17) | 719 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 3036 | 10.7% |
| o | 2595 | 9.2% |
| e | 2371 | 8.4% |
| r | 1897 | 6.7% |
| 1770 | 6.3% | |
| c | 1622 | 5.7% |
| i | 1586 | 5.6% |
| n | 1538 | 5.4% |
| t | 1304 | 4.6% |
| d | 806 | 2.8% |
| Other values (34) | 9781 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 22746 | |
| Uppercase Letter | 3073 | 10.9% |
| Space Separator | 1770 | 6.3% |
| Other Punctuation | 561 | 2.0% |
| Close Punctuation | 78 | 0.3% |
| Open Punctuation | 78 | 0.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 3036 | |
| o | 2595 | |
| e | 2371 | |
| r | 1897 | 8.3% |
| c | 1622 | 7.1% |
| i | 1586 | 7.0% |
| n | 1538 | 6.8% |
| t | 1304 | 5.7% |
| d | 806 | 3.5% |
| u | 725 | 3.2% |
| Other values (18) | 5266 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 711 | |
| F | 692 | |
| T | 540 | |
| E | 184 | 6.0% |
| O | 183 | 6.0% |
| B | 182 | 5.9% |
| M | 150 | 4.9% |
| I | 138 | 4.5% |
| P | 104 | 3.4% |
| V | 73 | 2.4% |
| Other values (2) | 116 | 3.8% |
Space Separator
| Value | Count | Frequency (%) |
| 1770 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 561 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 78 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 78 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 25819 | |
| Common | 2487 | 8.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 3036 | 11.8% |
| o | 2595 | 10.1% |
| e | 2371 | 9.2% |
| r | 1897 | 7.3% |
| c | 1622 | 6.3% |
| i | 1586 | 6.1% |
| n | 1538 | 6.0% |
| t | 1304 | 5.1% |
| d | 806 | 3.1% |
| u | 725 | 2.8% |
| Other values (30) | 8339 |
Common
| Value | Count | Frequency (%) |
| 1770 | ||
| / | 561 | 22.6% |
| ) | 78 | 3.1% |
| ( | 78 | 3.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 27033 | |
| None | 1273 | 4.5% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 3036 | 11.2% |
| o | 2595 | 9.6% |
| e | 2371 | 8.8% |
| r | 1897 | 7.0% |
| 1770 | 6.5% | |
| c | 1622 | 6.0% |
| i | 1586 | 5.9% |
| n | 1538 | 5.7% |
| t | 1304 | 4.8% |
| d | 806 | 3.0% |
| Other values (26) | 8508 |
None
| Value | Count | Frequency (%) |
| á | 501 | |
| ç | 307 | |
| ú | 230 | |
| ã | 125 | 9.8% |
| Á | 63 | 4.9% |
| ó | 19 | 1.5% |
| ê | 15 | 1.2% |
| í | 13 | 1.0% |
| Distinct | 8 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 1460 |
| Missing (%) | 82.7% |
| Memory size | 13.9 KiB |
| Coordenador | |
|---|---|
| Gerente | |
| Team Leader/Tech Leader | |
| C-level (CDO, CIO, CTO) | |
| Head | |
| Other values (3) |
Length
| Max length | 23 |
|---|---|
| Median length | 11 |
| Mean length | 12.68196721 |
| Min length | 4 |
Characters and Unicode
| Total characters | 3868 |
|---|---|
| Distinct characters | 31 |
| Distinct categories | 7 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | C-level (CDO, CIO, CTO) |
|---|---|
| 2nd row | Team Leader/Tech Leader |
| 3rd row | Coordenador |
| 4th row | Coordenador |
| 5th row | C-level (CDO, CIO, CTO) |
Common Values
| Value | Count | Frequency (%) |
| Coordenador | 73 | 4.1% |
| Gerente | 60 | 3.4% |
| Team Leader/Tech Leader | 53 | 3.0% |
| C-level (CDO, CIO, CTO) | 38 | 2.2% |
| Head | 26 | 1.5% |
| Supervisor | 24 | 1.4% |
| Diretor | 22 | 1.2% |
| Outras | 9 | 0.5% |
| (Missing) | 1460 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| coordenador | 73 | |
| gerente | 60 | |
| team | 53 | |
| leader/tech | 53 | |
| leader | 53 | |
| c-level | 38 | |
| cdo | 38 | |
| cio | 38 | |
| cto | 38 | |
| head | 26 | 5.0% |
| Other values (3) | 55 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 719 | |
| r | 413 | 10.7% |
| d | 278 | 7.2% |
| a | 267 | 6.9% |
| o | 265 | 6.9% |
| C | 225 | 5.8% |
| 220 | 5.7% | |
| T | 144 | 3.7% |
| n | 133 | 3.4% |
| O | 123 | 3.2% |
| Other values (21) | 1081 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2599 | |
| Uppercase Letter | 806 | 20.8% |
| Space Separator | 220 | 5.7% |
| Other Punctuation | 129 | 3.3% |
| Dash Punctuation | 38 | 1.0% |
| Open Punctuation | 38 | 1.0% |
| Close Punctuation | 38 | 1.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 719 | |
| r | 413 | |
| d | 278 | 10.7% |
| a | 267 | 10.3% |
| o | 265 | 10.2% |
| n | 133 | 5.1% |
| t | 91 | 3.5% |
| l | 76 | 2.9% |
| v | 62 | 2.4% |
| h | 53 | 2.0% |
| Other values (6) | 242 | 9.3% |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 225 | |
| T | 144 | |
| O | 123 | |
| L | 106 | |
| D | 60 | 7.4% |
| G | 60 | 7.4% |
| I | 38 | 4.7% |
| H | 26 | 3.2% |
| S | 24 | 3.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 76 | |
| / | 53 |
Space Separator
| Value | Count | Frequency (%) |
| 220 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 38 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 38 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 38 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3405 | |
| Common | 463 | 12.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 719 | |
| r | 413 | |
| d | 278 | 8.2% |
| a | 267 | 7.8% |
| o | 265 | 7.8% |
| C | 225 | 6.6% |
| T | 144 | 4.2% |
| n | 133 | 3.9% |
| O | 123 | 3.6% |
| L | 106 | 3.1% |
| Other values (15) | 732 |
Common
| Value | Count | Frequency (%) |
| 220 | ||
| , | 76 | 16.4% |
| / | 53 | 11.4% |
| - | 38 | 8.2% |
| ( | 38 | 8.2% |
| ) | 38 | 8.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3868 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 719 | |
| r | 413 | 10.7% |
| d | 278 | 7.2% |
| a | 267 | 6.9% |
| o | 265 | 6.9% |
| C | 225 | 5.8% |
| 220 | 5.7% | |
| T | 144 | 3.7% |
| n | 133 | 3.4% |
| O | 123 | 3.2% |
| Other values (21) | 1081 |
| Distinct | 14 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 514 |
| Missing (%) | 29.1% |
| Memory size | 13.9 KiB |
| Desenvolvedor ou Engenheiro de Software | |
|---|---|
| Outras | |
| Data Scientist/Cientista de Dados | |
| Data Analyst/Analista de Dados | |
| Business Intelligence/Analista de BI | |
| Other values (9) |
Length
| Max length | 39 |
|---|---|
| Median length | 36 |
| Mean length | 28.52517986 |
| Min length | 6 |
Characters and Unicode
| Total characters | 35685 |
|---|---|
| Distinct characters | 36 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Outras |
|---|---|
| 2nd row | Data Analyst/Analista de Dados |
| 3rd row | Outras |
| 4th row | Business Intelligence/Analista de BI |
| 5th row | Outras |
Common Values
| Value | Count | Frequency (%) |
| Desenvolvedor ou Engenheiro de Software | 225 | |
| Outras | 220 | |
| Data Scientist/Cientista de Dados | 167 | 9.5% |
| Data Analyst/Analista de Dados | 163 | 9.2% |
| Business Intelligence/Analista de BI | 150 | 8.5% |
| Data Engineer/Engenheiro de Dados | 130 | 7.4% |
| Business Analyst/Analista de Negócios | 72 | 4.1% |
| Analista de Inteligência de Mercado | 29 | 1.6% |
| Engenheiro | 26 | 1.5% |
| Analista de Marketing | 19 | 1.1% |
| Other values (4) | 50 | 2.8% |
| (Missing) | 514 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| de | 1027 | |
| dados | 474 | |
| data | 460 | |
| engenheiro | 266 | 6.0% |
| analyst/analista | 235 | 5.3% |
| desenvolvedor | 225 | 5.1% |
| ou | 225 | 5.1% |
| software | 225 | 5.1% |
| business | 222 | 5.0% |
| outras | 220 | 4.9% |
| Other values (15) | 873 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 4164 | |
| a | 3263 | 9.1% |
| 3201 | 9.0% | |
| n | 2961 | 8.3% |
| s | 2705 | 7.6% |
| t | 2496 | 7.0% |
| i | 2227 | 6.2% |
| o | 1930 | 5.4% |
| d | 1783 | 5.0% |
| r | 1287 | 3.6% |
| Other values (26) | 9668 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 27714 | |
| Uppercase Letter | 4074 | 11.4% |
| Space Separator | 3201 | 9.0% |
| Other Punctuation | 696 | 2.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 4164 | |
| a | 3263 | |
| n | 2961 | |
| s | 2705 | |
| t | 2496 | |
| i | 2227 | |
| o | 1930 | |
| d | 1783 | |
| r | 1287 | 4.6% |
| l | 1222 | 4.4% |
| Other values (13) | 3676 |
Uppercase Letter
| Value | Count | Frequency (%) |
| D | 1173 | |
| A | 696 | |
| E | 547 | |
| B | 400 | 9.8% |
| S | 392 | 9.6% |
| I | 329 | 8.1% |
| O | 220 | 5.4% |
| C | 167 | 4.1% |
| N | 72 | 1.8% |
| M | 63 | 1.5% |
Space Separator
| Value | Count | Frequency (%) |
| 3201 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 696 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 31788 | |
| Common | 3897 | 10.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 4164 | |
| a | 3263 | |
| n | 2961 | 9.3% |
| s | 2705 | 8.5% |
| t | 2496 | 7.9% |
| i | 2227 | 7.0% |
| o | 1930 | 6.1% |
| d | 1783 | 5.6% |
| r | 1287 | 4.0% |
| l | 1222 | 3.8% |
| Other values (24) | 7750 |
Common
| Value | Count | Frequency (%) |
| 3201 | ||
| / | 696 | 17.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 35573 | |
| None | 112 | 0.3% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 4164 | |
| a | 3263 | 9.2% |
| 3201 | 9.0% | |
| n | 2961 | 8.3% |
| s | 2705 | 7.6% |
| t | 2496 | 7.0% |
| i | 2227 | 6.3% |
| o | 1930 | 5.4% |
| d | 1783 | 5.0% |
| r | 1287 | 3.6% |
| Other values (23) | 9556 |
None
| Value | Count | Frequency (%) |
| ó | 72 | |
| ê | 29 | |
| í | 11 | 9.8% |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 821 |
| Missing (%) | 46.5% |
| Memory size | 13.9 KiB |
| Outras | |
|---|---|
| Analista de BI | |
| Desenvolvedor ou Engenheiro de Software | |
| Cientista de Dados |
Length
| Max length | 39 |
|---|---|
| Median length | 18 |
| Mean length | 18.57309322 |
| Min length | 6 |
Characters and Unicode
| Total characters | 17533 |
|---|---|
| Distinct characters | 25 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Outras |
|---|---|
| 2nd row | Outras |
| 3rd row | Analista de BI |
| 4th row | Outras |
| 5th row | Desenvolvedor ou Engenheiro de Software |
Common Values
| Value | Count | Frequency (%) |
| Outras | 265 | 15.0% |
| Analista de BI | 251 | 14.2% |
| Desenvolvedor ou Engenheiro de Software | 225 | 12.7% |
| Cientista de Dados | 203 | 11.5% |
| (Missing) | 821 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| de | 679 | |
| outras | 265 | 9.6% |
| analista | 251 | 9.1% |
| bi | 251 | 9.1% |
| desenvolvedor | 225 | 8.2% |
| ou | 225 | 8.2% |
| engenheiro | 225 | 8.2% |
| software | 225 | 8.2% |
| cientista | 203 | 7.4% |
| dados | 203 | 7.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 2232 | |
| 1808 | ||
| a | 1398 | 8.0% |
| o | 1328 | 7.6% |
| t | 1147 | 6.5% |
| s | 1147 | 6.5% |
| n | 1129 | 6.4% |
| d | 1107 | 6.3% |
| r | 940 | 5.4% |
| i | 882 | 5.0% |
| Other values (15) | 4415 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 13626 | |
| Uppercase Letter | 2099 | 12.0% |
| Space Separator | 1808 | 10.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 2232 | |
| a | 1398 | |
| o | 1328 | |
| t | 1147 | |
| s | 1147 | |
| n | 1129 | |
| d | 1107 | |
| r | 940 | |
| i | 882 | 6.5% |
| u | 490 | 3.6% |
| Other values (6) | 1826 |
Uppercase Letter
| Value | Count | Frequency (%) |
| D | 428 | |
| O | 265 | |
| I | 251 | |
| B | 251 | |
| A | 251 | |
| E | 225 | |
| S | 225 | |
| C | 203 |
Space Separator
| Value | Count | Frequency (%) |
| 1808 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 15725 | |
| Common | 1808 | 10.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 2232 | |
| a | 1398 | 8.9% |
| o | 1328 | 8.4% |
| t | 1147 | 7.3% |
| s | 1147 | 7.3% |
| n | 1129 | 7.2% |
| d | 1107 | 7.0% |
| r | 940 | 6.0% |
| i | 882 | 5.6% |
| u | 490 | 3.1% |
| Other values (14) | 3925 |
Common
| Value | Count | Frequency (%) |
| 1808 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 17533 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 2232 | |
| 1808 | ||
| a | 1398 | 8.0% |
| o | 1328 | 7.6% |
| t | 1147 | 6.5% |
| s | 1147 | 6.5% |
| n | 1129 | 6.4% |
| d | 1107 | 6.3% |
| r | 940 | 5.4% |
| i | 882 | 5.0% |
| Other values (15) | 4415 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 24 |
| Missing (%) | 1.4% |
| Memory size | 2.0 KiB |
| [25,30] | |
|---|---|
| [31,40] | |
| [18,24] | |
| [41,50] |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 7 |
| Min length | 7 |
Characters and Unicode
| Total characters | 12187 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 4 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | [31,40] |
|---|---|
| 2nd row | [18,24] |
| 3rd row | [25,30] |
| 4th row | [18,24] |
| 5th row | [25,30] |
Common Values
| Value | Count | Frequency (%) |
| [25,30] | 650 | |
| [31,40] | 559 | |
| [18,24] | 399 | |
| [41,50] | 133 | 7.5% |
| (Missing) | 24 | 1.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 25,30 | 650 | |
| 31,40 | 559 | |
| 18,24 | 399 | |
| 41,50 | 133 | 7.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| [ | 1741 | |
| , | 1741 | |
| ] | 1741 | |
| 0 | 1342 | |
| 3 | 1209 | |
| 1 | 1091 | |
| 4 | 1091 | |
| 2 | 1049 | |
| 5 | 783 | |
| 8 | 399 | 3.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 6964 | |
| Open Punctuation | 1741 | 14.3% |
| Other Punctuation | 1741 | 14.3% |
| Close Punctuation | 1741 | 14.3% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1342 | |
| 3 | 1209 | |
| 1 | 1091 | |
| 4 | 1091 | |
| 2 | 1049 | |
| 5 | 783 | |
| 8 | 399 | 5.7% |
Open Punctuation
| Value | Count | Frequency (%) |
| [ | 1741 |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 1741 |
Close Punctuation
| Value | Count | Frequency (%) |
| ] | 1741 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 12187 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| [ | 1741 | |
| , | 1741 | |
| ] | 1741 | |
| 0 | 1342 | |
| 3 | 1209 | |
| 1 | 1091 | |
| 4 | 1091 | |
| 2 | 1049 | |
| 5 | 783 | |
| 8 | 399 | 3.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 12187 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| [ | 1741 | |
| , | 1741 | |
| ] | 1741 | |
| 0 | 1342 | |
| 3 | 1209 | |
| 1 | 1091 | |
| 4 | 1091 | |
| 2 | 1049 | |
| 5 | 783 | |
| 8 | 399 | 3.3% |
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 238 |
| Missing (%) | 13.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6283.235102 |
| Minimum | 1000 |
|---|---|
| Maximum | 25000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 13.9 KiB |
Quantile statistics
| Minimum | 1000 |
|---|---|
| 5-th percentile | 1500 |
| Q1 | 3500 |
| median | 5000 |
| Q3 | 10000 |
| 95-th percentile | 14000 |
| Maximum | 25000 |
| Range | 24000 |
| Interquartile range (IQR) | 6500 |
Descriptive statistics
| Standard deviation | 4634.954013 |
|---|---|
| Coefficient of variation (CV) | 0.7376699961 |
| Kurtosis | 2.687305868 |
| Mean | 6283.235102 |
| Median Absolute Deviation (MAD) | 2500 |
| Skewness | 1.52321921 |
| Sum | 9594500 |
| Variance | 21482798.7 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 5000 | 308 | |
| 10000 | 237 | |
| 7000 | 229 | |
| 3500 | 219 | |
| 1500 | 181 | |
| 2500 | 150 | |
| 14000 | 82 | 4.6% |
| 1000 | 48 | 2.7% |
| 18000 | 45 | 2.5% |
| 22500 | 15 | 0.8% |
| (Missing) | 238 |
| Value | Count | Frequency (%) |
| 1000 | 48 | 2.7% |
| 1500 | 181 | |
| 2500 | 150 | |
| 3500 | 219 | |
| 5000 | 308 | |
| 7000 | 229 | |
| 10000 | 237 | |
| 14000 | 82 | 4.6% |
| 18000 | 45 | 2.5% |
| 22500 | 15 | 0.8% |
| Value | Count | Frequency (%) |
| 25000 | 13 | 0.7% |
| 22500 | 15 | 0.8% |
| 18000 | 45 | 2.5% |
| 14000 | 82 | 4.6% |
| 10000 | 237 | |
| 7000 | 229 | |
| 5000 | 308 | |
| 3500 | 219 | |
| 2500 | 150 | |
| 1500 | 181 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 366 |
| Missing (%) | 20.7% |
| Memory size | 13.9 KiB |
| Grande | |
|---|---|
| Média | |
| Pequena |
Length
| Max length | 7 |
|---|---|
| Median length | 6 |
| Mean length | 5.879914224 |
| Min length | 5 |
Characters and Unicode
| Total characters | 8226 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Pequena |
|---|---|
| 2nd row | Grande |
| 3rd row | Grande |
| 4th row | Pequena |
| 5th row | Pequena |
Common Values
| Value | Count | Frequency (%) |
| Grande | 557 | |
| Média | 505 | |
| Pequena | 337 | |
| (Missing) | 366 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| grande | 557 | |
| média | 505 | |
| pequena | 337 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1399 | |
| e | 1231 | |
| d | 1062 | |
| n | 894 | |
| G | 557 | 6.8% |
| r | 557 | 6.8% |
| M | 505 | 6.1% |
| é | 505 | 6.1% |
| i | 505 | 6.1% |
| P | 337 | 4.1% |
| Other values (2) | 674 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 6827 | |
| Uppercase Letter | 1399 | 17.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1399 | |
| e | 1231 | |
| d | 1062 | |
| n | 894 | |
| r | 557 | 8.2% |
| é | 505 | 7.4% |
| i | 505 | 7.4% |
| q | 337 | 4.9% |
| u | 337 | 4.9% |
Uppercase Letter
| Value | Count | Frequency (%) |
| G | 557 | |
| M | 505 | |
| P | 337 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 8226 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1399 | |
| e | 1231 | |
| d | 1062 | |
| n | 894 | |
| G | 557 | 6.8% |
| r | 557 | 6.8% |
| M | 505 | 6.1% |
| é | 505 | 6.1% |
| i | 505 | 6.1% |
| P | 337 | 4.1% |
| Other values (2) | 674 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7721 | |
| None | 505 | 6.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1399 | |
| e | 1231 | |
| d | 1062 | |
| n | 894 | |
| G | 557 | 7.2% |
| r | 557 | 7.2% |
| M | 505 | 6.5% |
| i | 505 | 6.5% |
| P | 337 | 4.4% |
| q | 337 | 4.4% |
None
| Value | Count | Frequency (%) |
| é | 505 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 238 |
| Missing (%) | 13.5% |
| Memory size | 13.9 KiB |
| não | |
|---|---|
| sim |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 4581 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | não |
|---|---|
| 2nd row | não |
| 3rd row | não |
| 4th row | não |
| 5th row | sim |
Common Values
| Value | Count | Frequency (%) |
| não | 1222 | |
| sim | 305 | 17.3% |
| (Missing) | 238 | 13.5% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| não | 1222 | |
| sim | 305 | 20.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 1222 | |
| ã | 1222 | |
| o | 1222 | |
| s | 305 | 6.7% |
| i | 305 | 6.7% |
| m | 305 | 6.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4581 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 1222 | |
| ã | 1222 | |
| o | 1222 | |
| s | 305 | 6.7% |
| i | 305 | 6.7% |
| m | 305 | 6.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4581 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 1222 | |
| ã | 1222 | |
| o | 1222 | |
| s | 305 | 6.7% |
| i | 305 | 6.7% |
| m | 305 | 6.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3359 | |
| None | 1222 | 26.7% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 1222 | |
| o | 1222 | |
| s | 305 | 9.1% |
| i | 305 | 9.1% |
| m | 305 | 9.1% |
None
| Value | Count | Frequency (%) |
| ã | 1222 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| sim | |
|---|---|
| não |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 5295 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | não |
|---|---|
| 2nd row | sim |
| 3rd row | sim |
| 4th row | sim |
| 5th row | sim |
Common Values
| Value | Count | Frequency (%) |
| sim | 915 | |
| não | 850 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| sim | 915 | |
| não | 850 |
Most occurring characters
| Value | Count | Frequency (%) |
| s | 915 | |
| i | 915 | |
| m | 915 | |
| n | 850 | |
| ã | 850 | |
| o | 850 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 5295 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| s | 915 | |
| i | 915 | |
| m | 915 | |
| n | 850 | |
| ã | 850 | |
| o | 850 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 5295 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| s | 915 | |
| i | 915 | |
| m | 915 | |
| n | 850 | |
| ã | 850 | |
| o | 850 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4445 | |
| None | 850 | 16.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| s | 915 | |
| i | 915 | |
| m | 915 | |
| n | 850 | |
| o | 850 |
None
| Value | Count | Frequency (%) |
| ã | 850 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 3 |
| Missing (%) | 0.2% |
| Memory size | 13.9 KiB |
| Masculino | |
|---|---|
| Feminino |
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 8.814982974 |
| Min length | 8 |
Characters and Unicode
| Total characters | 15532 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Masculino |
|---|---|
| 2nd row | Feminino |
| 3rd row | Masculino |
| 4th row | Masculino |
| 5th row | Masculino |
Common Values
| Value | Count | Frequency (%) |
| Masculino | 1436 | |
| Feminino | 326 | 18.5% |
| (Missing) | 3 | 0.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| masculino | 1436 | |
| feminino | 326 | 18.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 2088 | |
| n | 2088 | |
| o | 1762 | |
| M | 1436 | |
| a | 1436 | |
| s | 1436 | |
| c | 1436 | |
| u | 1436 | |
| l | 1436 | |
| F | 326 | 2.1% |
| Other values (2) | 652 | 4.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 13770 | |
| Uppercase Letter | 1762 | 11.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 2088 | |
| n | 2088 | |
| o | 1762 | |
| a | 1436 | |
| s | 1436 | |
| c | 1436 | |
| u | 1436 | |
| l | 1436 | |
| e | 326 | 2.4% |
| m | 326 | 2.4% |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 1436 | |
| F | 326 | 18.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 15532 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 2088 | |
| n | 2088 | |
| o | 1762 | |
| M | 1436 | |
| a | 1436 | |
| s | 1436 | |
| c | 1436 | |
| u | 1436 | |
| l | 1436 | |
| F | 326 | 2.1% |
| Other values (2) | 652 | 4.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 15532 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 2088 | |
| n | 2088 | |
| o | 1762 | |
| M | 1436 | |
| a | 1436 | |
| s | 1436 | |
| c | 1436 | |
| u | 1436 | |
| l | 1436 | |
| F | 326 | 2.1% |
| Other values (2) | 652 | 4.2% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| Menos de 1 ano | |
|---|---|
| de 1 a 2 anos | |
| de 2 a 3 anos | |
| Não tenho experiência na área de dados | |
| de 4 a 5 anos | |
| Other values (2) |
Length
| Max length | 38 |
|---|---|
| Median length | 15 |
| Mean length | 16.65042493 |
| Min length | 13 |
Characters and Unicode
| Total characters | 29388 |
|---|---|
| Distinct characters | 26 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Não tenho experiência na área de dados |
|---|---|
| 2nd row | Menos de 1 ano |
| 3rd row | de 1 a 2 anos |
| 4th row | Menos de 1 ano |
| 5th row | de 4 a 5 anos |
Common Values
| Value | Count | Frequency (%) |
| Menos de 1 ano | 445 | |
| de 1 a 2 anos | 343 | |
| de 2 a 3 anos | 244 | |
| Não tenho experiência na área de dados | 221 | |
| de 4 a 5 anos | 186 | |
| de 6 a 10 anos | 179 | |
| Mais de 10 anos | 147 | 8.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| de | 1765 | |
| anos | 1099 | |
| a | 952 | |
| 1 | 788 | |
| 2 | 587 | 6.8% |
| menos | 445 | 5.1% |
| ano | 445 | 5.1% |
| 10 | 326 | 3.8% |
| 3 | 244 | 2.8% |
| área | 221 | 2.5% |
| Other values (9) | 1803 |
Most occurring characters
| Value | Count | Frequency (%) |
| 6910 | ||
| a | 3527 | |
| e | 3094 | |
| n | 2652 | 9.0% |
| o | 2652 | 9.0% |
| d | 2207 | 7.5% |
| s | 1912 | 6.5% |
| 1 | 1114 | 3.8% |
| M | 592 | 2.0% |
| i | 589 | 2.0% |
| Other values (16) | 4139 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 18843 | |
| Space Separator | 6910 | 23.5% |
| Decimal Number | 2822 | 9.6% |
| Uppercase Letter | 813 | 2.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 3527 | |
| e | 3094 | |
| n | 2652 | |
| o | 2652 | |
| d | 2207 | |
| s | 1912 | |
| i | 589 | 3.1% |
| r | 442 | 2.3% |
| ã | 221 | 1.2% |
| h | 221 | 1.2% |
| Other values (6) | 1326 | 7.0% |
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 1114 | |
| 2 | 587 | |
| 0 | 326 | 11.6% |
| 3 | 244 | 8.6% |
| 4 | 186 | 6.6% |
| 5 | 186 | 6.6% |
| 6 | 179 | 6.3% |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 592 | |
| N | 221 | 27.2% |
Space Separator
| Value | Count | Frequency (%) |
| 6910 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 19656 | |
| Common | 9732 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 3527 | |
| e | 3094 | |
| n | 2652 | |
| o | 2652 | |
| d | 2207 | |
| s | 1912 | |
| M | 592 | 3.0% |
| i | 589 | 3.0% |
| r | 442 | 2.2% |
| ã | 221 | 1.1% |
| Other values (8) | 1768 |
Common
| Value | Count | Frequency (%) |
| 6910 | ||
| 1 | 1114 | 11.4% |
| 2 | 587 | 6.0% |
| 0 | 326 | 3.3% |
| 3 | 244 | 2.5% |
| 4 | 186 | 1.9% |
| 5 | 186 | 1.9% |
| 6 | 179 | 1.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 28725 | |
| None | 663 | 2.3% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 6910 | ||
| a | 3527 | |
| e | 3094 | |
| n | 2652 | 9.2% |
| o | 2652 | 9.2% |
| d | 2207 | 7.7% |
| s | 1912 | 6.7% |
| 1 | 1114 | 3.9% |
| M | 592 | 2.1% |
| i | 589 | 2.1% |
| Other values (13) | 3476 |
None
| Value | Count | Frequency (%) |
| ã | 221 | |
| ê | 221 | |
| á | 221 |
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| Empregado (CTL) | |
|---|---|
| Empreendedor ou Empregado (CNPJ) | |
| Estagiário | |
| Somente Estudante (graduação) | 85 |
| Desempregado, buscando recolocação | 69 |
| Other values (6) |
Length
| Max length | 45 |
|---|---|
| Median length | 15 |
| Mean length | 19.27988669 |
| Min length | 10 |
Characters and Unicode
| Total characters | 34029 |
|---|---|
| Distinct characters | 44 |
| Distinct categories | 7 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Empregado (CTL) |
|---|---|
| 2nd row | Empregado (CTL) |
| 3rd row | Empregado (CTL) |
| 4th row | Estagiário |
| 5th row | Freelancer |
Common Values
| Value | Count | Frequency (%) |
| Empregado (CTL) | 1073 | |
| Empreendedor ou Empregado (CNPJ) | 234 | 13.3% |
| Estagiário | 131 | 7.4% |
| Somente Estudante (graduação) | 85 | 4.8% |
| Desempregado, buscando recolocação | 69 | 3.9% |
| Servidor Público | 60 | 3.4% |
| Trabalho na área Acadêmica/Pesquisador | 45 | 2.5% |
| Somente Estudante (pós-graduação) | 36 | 2.0% |
| Freelancer | 23 | 1.3% |
| Prefiro não dizer | 6 | 0.3% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| empregado | 1307 | |
| ctl | 1073 | |
| empreendedor | 234 | 5.6% |
| ou | 234 | 5.6% |
| cnpj | 234 | 5.6% |
| estagiário | 131 | 3.2% |
| somente | 121 | 2.9% |
| estudante | 121 | 2.9% |
| graduação | 85 | 2.1% |
| desempregado | 72 | 1.7% |
| Other values (15) | 530 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 2897 | 8.5% |
| o | 2736 | 8.0% |
| r | 2490 | 7.3% |
| 2377 | 7.0% | |
| a | 2355 | 6.9% |
| d | 2317 | 6.8% |
| E | 1793 | 5.3% |
| m | 1779 | 5.2% |
| p | 1649 | 4.8% |
| g | 1631 | 4.8% |
| Other values (34) | 12005 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 22221 | |
| Uppercase Letter | 6425 | 18.9% |
| Space Separator | 2377 | 7.0% |
| Open Punctuation | 1428 | 4.2% |
| Close Punctuation | 1428 | 4.2% |
| Other Punctuation | 114 | 0.3% |
| Dash Punctuation | 36 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 2897 | |
| o | 2736 | |
| r | 2490 | |
| a | 2355 | |
| d | 2317 | |
| m | 1779 | |
| p | 1649 | |
| g | 1631 | |
| n | 625 | 2.8% |
| u | 596 | 2.7% |
| Other values (17) | 3146 |
Uppercase Letter
| Value | Count | Frequency (%) |
| E | 1793 | |
| C | 1307 | |
| T | 1118 | |
| L | 1073 | |
| P | 345 | 5.4% |
| J | 234 | 3.6% |
| N | 234 | 3.6% |
| S | 181 | 2.8% |
| D | 72 | 1.1% |
| A | 45 | 0.7% |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 69 | |
| / | 45 |
Space Separator
| Value | Count | Frequency (%) |
| 2377 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 1428 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 1428 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 36 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 28646 | |
| Common | 5383 | 15.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 2897 | 10.1% |
| o | 2736 | 9.6% |
| r | 2490 | 8.7% |
| a | 2355 | 8.2% |
| d | 2317 | 8.1% |
| E | 1793 | 6.3% |
| m | 1779 | 6.2% |
| p | 1649 | 5.8% |
| g | 1631 | 5.7% |
| C | 1307 | 4.6% |
| Other values (28) | 7692 |
Common
| Value | Count | Frequency (%) |
| 2377 | ||
| ( | 1428 | |
| ) | 1428 | |
| , | 69 | 1.3% |
| / | 45 | 0.8% |
| - | 36 | 0.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 33317 | |
| None | 712 | 2.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 2897 | 8.7% |
| o | 2736 | 8.2% |
| r | 2490 | 7.5% |
| 2377 | 7.1% | |
| a | 2355 | 7.1% |
| d | 2317 | 7.0% |
| E | 1793 | 5.4% |
| m | 1779 | 5.3% |
| p | 1649 | 4.9% |
| g | 1631 | 4.9% |
| Other values (28) | 11293 |
None
| Value | Count | Frequency (%) |
| ã | 202 | |
| ç | 193 | |
| á | 176 | |
| ú | 60 | 8.4% |
| ê | 45 | 6.3% |
| ó | 36 | 5.1% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 13.9 KiB |
| Graduação/Bacharelado | |
|---|---|
| Pós-graduação | |
| Estudante de Graduação | |
| Mestrado | |
| Doutorado ou Phd | 50 |
| Other values (2) | 35 |
Length
| Max length | 26 |
|---|---|
| Median length | 22 |
| Mean length | 17.29688385 |
| Min length | 8 |
Characters and Unicode
| Total characters | 30529 |
|---|---|
| Distinct characters | 29 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | Estudante de Graduação |
|---|---|
| 2nd row | Estudante de Graduação |
| 3rd row | Graduação/Bacharelado |
| 4th row | Estudante de Graduação |
| 5th row | Graduação/Bacharelado |
Common Values
| Value | Count | Frequency (%) |
| Graduação/Bacharelado | 578 | |
| Pós-graduação | 527 | |
| Estudante de Graduação | 374 | |
| Mestrado | 201 | 11.4% |
| Doutorado ou Phd | 50 | 2.8% |
| Não tenho graduação formal | 34 | 1.9% |
| Prefiro não informar | 1 | 0.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| graduação/bacharelado | 578 | |
| pós-graduação | 527 | |
| graduação | 408 | |
| estudante | 374 | |
| de | 374 | |
| mestrado | 201 | 7.4% |
| doutorado | 50 | 1.8% |
| ou | 50 | 1.8% |
| phd | 50 | 1.8% |
| não | 35 | 1.3% |
| Other values (4) | 70 | 2.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 5420 | |
| d | 3140 | 10.3% |
| o | 2597 | 8.5% |
| r | 2380 | 7.8% |
| u | 1987 | 6.5% |
| e | 1562 | 5.1% |
| ã | 1548 | 5.1% |
| ç | 1513 | 5.0% |
| s | 1102 | 3.6% |
| t | 1033 | 3.4% |
| Other values (19) | 8247 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 25705 | |
| Uppercase Letter | 2767 | 9.1% |
| Space Separator | 952 | 3.1% |
| Other Punctuation | 578 | 1.9% |
| Dash Punctuation | 527 | 1.7% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 5420 | |
| d | 3140 | |
| o | 2597 | |
| r | 2380 | |
| u | 1987 | 7.7% |
| e | 1562 | 6.1% |
| ã | 1548 | 6.0% |
| ç | 1513 | 5.9% |
| s | 1102 | 4.3% |
| t | 1033 | 4.0% |
| Other values (9) | 3423 |
Uppercase Letter
| Value | Count | Frequency (%) |
| G | 952 | |
| P | 578 | |
| B | 578 | |
| E | 374 | 13.5% |
| M | 201 | 7.3% |
| D | 50 | 1.8% |
| N | 34 | 1.2% |
Space Separator
| Value | Count | Frequency (%) |
| 952 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 578 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 527 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 28472 | |
| Common | 2057 | 6.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 5420 | |
| d | 3140 | |
| o | 2597 | |
| r | 2380 | 8.4% |
| u | 1987 | 7.0% |
| e | 1562 | 5.5% |
| ã | 1548 | 5.4% |
| ç | 1513 | 5.3% |
| s | 1102 | 3.9% |
| t | 1033 | 3.6% |
| Other values (16) | 6190 |
Common
| Value | Count | Frequency (%) |
| 952 | ||
| / | 578 | |
| - | 527 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 26941 | |
| None | 3588 | 11.8% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 5420 | |
| d | 3140 | |
| o | 2597 | |
| r | 2380 | |
| u | 1987 | 7.4% |
| e | 1562 | 5.8% |
| s | 1102 | 4.1% |
| t | 1033 | 3.8% |
| G | 952 | 3.5% |
| 952 | 3.5% | |
| Other values (16) | 5816 |
None
| Value | Count | Frequency (%) |
| ã | 1548 | |
| ç | 1513 | |
| ó | 527 | 14.7% |
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 35 |
| Missing (%) | 2.0% |
| Memory size | 13.9 KiB |
| Computação / Engenharia de Software / Sistemas de Informação | |
|---|---|
| Outras Engenharias | |
| Economia/ Administração / Contabilidade / Finanças | |
| Estatística/ Matemática / Matemática Computacional | |
| Outras | 92 |
| Other values (3) | 100 |
Length
| Max length | 60 |
|---|---|
| Median length | 60 |
| Mean length | 47.90520231 |
| Min length | 6 |
Characters and Unicode
| Total characters | 82876 |
|---|---|
| Distinct characters | 38 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Computação / Engenharia de Software / Sistemas de Informação |
|---|---|
| 2nd row | Computação / Engenharia de Software / Sistemas de Informação |
| 3rd row | Outras Engenharias |
| 4th row | Computação / Engenharia de Software / Sistemas de Informação |
| 5th row | Computação / Engenharia de Software / Sistemas de Informação |
Common Values
| Value | Count | Frequency (%) |
| Computação / Engenharia de Software / Sistemas de Informação | 1013 | |
| Outras Engenharias | 247 | 14.0% |
| Economia/ Administração / Contabilidade / Finanças | 174 | 9.9% |
| Estatística/ Matemática / Matemática Computacional | 104 | 5.9% |
| Outras | 92 | 5.2% |
| Marketing / Publicidade / Comunicação / Jornalismo | 47 | 2.7% |
| Química / Física | 28 | 1.6% |
| Ciências Sociais | 25 | 1.4% |
| (Missing) | 35 | 2.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 2647 | ||
| de | 2026 | |
| computação | 1013 | 8.6% |
| engenharia | 1013 | 8.6% |
| software | 1013 | 8.6% |
| sistemas | 1013 | 8.6% |
| informação | 1013 | 8.6% |
| outras | 339 | 2.9% |
| engenharias | 247 | 2.1% |
| matemática | 208 | 1.8% |
| Other values (14) | 1198 |
Most occurring characters
| Value | Count | Frequency (%) |
| 10000 | 12.1% | |
| a | 9081 | 11.0% |
| o | 6182 | 7.5% |
| e | 5788 | 7.0% |
| n | 4673 | 5.6% |
| t | 4605 | 5.6% |
| i | 4124 | 5.0% |
| r | 3893 | 4.7% |
| m | 3821 | 4.6% |
| s | 3293 | 4.0% |
| Other values (28) | 27416 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 62894 | |
| Space Separator | 10000 | 12.1% |
| Uppercase Letter | 7057 | 8.5% |
| Other Punctuation | 2925 | 3.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 9081 | |
| o | 6182 | |
| e | 5788 | 9.2% |
| n | 4673 | 7.4% |
| t | 4605 | 7.3% |
| i | 4124 | 6.6% |
| r | 3893 | 6.2% |
| m | 3821 | 6.1% |
| s | 3293 | 5.2% |
| d | 2642 | 4.2% |
| Other values (15) | 14792 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 2051 | |
| E | 1538 | |
| C | 1363 | |
| I | 1013 | |
| O | 339 | 4.8% |
| M | 255 | 3.6% |
| F | 202 | 2.9% |
| A | 174 | 2.5% |
| P | 47 | 0.7% |
| J | 47 | 0.7% |
Space Separator
| Value | Count | Frequency (%) |
| 10000 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 2925 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 69951 | |
| Common | 12925 | 15.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 9081 | |
| o | 6182 | 8.8% |
| e | 5788 | 8.3% |
| n | 4673 | 6.7% |
| t | 4605 | 6.6% |
| i | 4124 | 5.9% |
| r | 3893 | 5.6% |
| m | 3821 | 5.5% |
| s | 3293 | 4.7% |
| d | 2642 | 3.8% |
| Other values (26) | 21849 |
Common
| Value | Count | Frequency (%) |
| 10000 | ||
| / | 2925 | 22.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 77815 | |
| None | 5061 | 6.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 10000 | ||
| a | 9081 | |
| o | 6182 | 7.9% |
| e | 5788 | 7.4% |
| n | 4673 | 6.0% |
| t | 4605 | 5.9% |
| i | 4124 | 5.3% |
| r | 3893 | 5.0% |
| m | 3821 | 4.9% |
| s | 3293 | 4.2% |
| Other values (23) | 22355 |
None
| Value | Count | Frequency (%) |
| ç | 2421 | |
| ã | 2247 | |
| á | 208 | 4.1% |
| í | 160 | 3.2% |
| ê | 25 | 0.5% |
| Distinct | 17 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 243 |
| Missing (%) | 13.8% |
| Memory size | 13.9 KiB |
| Tecnologia/Fábrica de Software | |
|---|---|
| Outras | |
| Finanças ou Bancos | |
| Setor Público | |
| Educação | |
| Other values (12) |
Length
| Max length | 30 |
|---|---|
| Median length | 22 |
| Mean length | 18.5978975 |
| Min length | 6 |
Characters and Unicode
| Total characters | 28306 |
|---|---|
| Distinct characters | 44 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Outras |
|---|---|
| 2nd row | Educação |
| 3rd row | Indústria (Manufatura) |
| 4th row | Tecnologia/Fábrica de Software |
| 5th row | Internet/Ecommerce |
Common Values
| Value | Count | Frequency (%) |
| Tecnologia/Fábrica de Software | 501 | |
| Outras | 183 | 10.4% |
| Finanças ou Bancos | 182 | 10.3% |
| Setor Público | 89 | 5.0% |
| Educação | 86 | 4.9% |
| Indústria (Manufatura) | 78 | 4.4% |
| Varejo | 73 | 4.1% |
| Marketing | 72 | 4.1% |
| Área da Saúde | 63 | 3.6% |
| Internet/Ecommerce | 60 | 3.4% |
| Other values (7) | 135 | 7.6% |
| (Missing) | 243 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| tecnologia/fábrica | 501 | |
| de | 501 | |
| software | 501 | |
| ou | 216 | 6.6% |
| outras | 183 | 5.6% |
| finanças | 182 | 5.5% |
| bancos | 182 | 5.5% |
| setor | 132 | 4.0% |
| público | 89 | 2.7% |
| educação | 86 | 2.6% |
| Other values (17) | 719 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 3036 | 10.7% |
| o | 2595 | 9.2% |
| e | 2371 | 8.4% |
| r | 1897 | 6.7% |
| 1770 | 6.3% | |
| c | 1622 | 5.7% |
| i | 1586 | 5.6% |
| n | 1538 | 5.4% |
| t | 1304 | 4.6% |
| d | 806 | 2.8% |
| Other values (34) | 9781 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 22746 | |
| Uppercase Letter | 3073 | 10.9% |
| Space Separator | 1770 | 6.3% |
| Other Punctuation | 561 | 2.0% |
| Close Punctuation | 78 | 0.3% |
| Open Punctuation | 78 | 0.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 3036 | |
| o | 2595 | |
| e | 2371 | |
| r | 1897 | 8.3% |
| c | 1622 | 7.1% |
| i | 1586 | 7.0% |
| n | 1538 | 6.8% |
| t | 1304 | 5.7% |
| d | 806 | 3.5% |
| u | 725 | 3.2% |
| Other values (18) | 5266 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 711 | |
| F | 692 | |
| T | 540 | |
| E | 184 | 6.0% |
| O | 183 | 6.0% |
| B | 182 | 5.9% |
| M | 150 | 4.9% |
| I | 138 | 4.5% |
| P | 104 | 3.4% |
| V | 73 | 2.4% |
| Other values (2) | 116 | 3.8% |
Space Separator
| Value | Count | Frequency (%) |
| 1770 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 561 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 78 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 78 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 25819 | |
| Common | 2487 | 8.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 3036 | 11.8% |
| o | 2595 | 10.1% |
| e | 2371 | 9.2% |
| r | 1897 | 7.3% |
| c | 1622 | 6.3% |
| i | 1586 | 6.1% |
| n | 1538 | 6.0% |
| t | 1304 | 5.1% |
| d | 806 | 3.1% |
| u | 725 | 2.8% |
| Other values (30) | 8339 |
Common
| Value | Count | Frequency (%) |
| 1770 | ||
| / | 561 | 22.6% |
| ) | 78 | 3.1% |
| ( | 78 | 3.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 27033 | |
| None | 1273 | 4.5% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 3036 | 11.2% |
| o | 2595 | 9.6% |
| e | 2371 | 8.8% |
| r | 1897 | 7.0% |
| 1770 | 6.5% | |
| c | 1622 | 6.0% |
| i | 1586 | 5.9% |
| n | 1538 | 5.7% |
| t | 1304 | 4.8% |
| d | 806 | 3.0% |
| Other values (26) | 8508 |
None
| Value | Count | Frequency (%) |
| á | 501 | |
| ç | 307 | |
| ú | 230 | |
| ã | 125 | 9.8% |
| Á | 63 | 4.9% |
| ó | 19 | 1.5% |
| ê | 15 | 1.2% |
| í | 13 | 1.0% |
| Distinct | 9 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 140 |
| Missing (%) | 7.9% |
| Memory size | 13.9 KiB |
| Udemy | |
|---|---|
| Coursera | |
| Udacity | |
| Nunca fiz cursos online | |
| DataCamp | |
| Other values (4) |
Length
| Max length | 23 |
|---|---|
| Median length | 12 |
| Mean length | 8.270769231 |
| Min length | 3 |
Characters and Unicode
| Total characters | 13440 |
|---|---|
| Distinct characters | 28 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Nunca fiz cursos online |
|---|---|
| 2nd row | Udemy |
| 3rd row | Alura |
| 4th row | Udemy |
| 5th row | Udemy |
Common Values
| Value | Count | Frequency (%) |
| Udemy | 466 | |
| Coursera | 309 | |
| Udacity | 238 | |
| Nunca fiz cursos online | 162 | 9.2% |
| DataCamp | 162 | 9.2% |
| Alura | 138 | 7.8% |
| Kaggle Learn | 74 | 4.2% |
| edX | 52 | 2.9% |
| DataQuest | 24 | 1.4% |
| (Missing) | 140 | 7.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| udemy | 466 | |
| coursera | 309 | |
| udacity | 238 | |
| nunca | 162 | 7.4% |
| fiz | 162 | 7.4% |
| cursos | 162 | 7.4% |
| online | 162 | 7.4% |
| datacamp | 162 | 7.4% |
| alura | 138 | 6.3% |
| kaggle | 74 | 3.4% |
| Other values (3) | 150 | 6.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1529 | 11.4% |
| e | 1161 | 8.6% |
| r | 992 | 7.4% |
| u | 795 | 5.9% |
| d | 756 | 5.6% |
| U | 704 | 5.2% |
| y | 704 | 5.2% |
| s | 657 | 4.9% |
| o | 633 | 4.7% |
| m | 628 | 4.7% |
| Other values (18) | 4881 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10995 | |
| Uppercase Letter | 1885 | 14.0% |
| Space Separator | 560 | 4.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1529 | |
| e | 1161 | |
| r | 992 | 9.0% |
| u | 795 | 7.2% |
| d | 756 | 6.9% |
| y | 704 | 6.4% |
| s | 657 | 6.0% |
| o | 633 | 5.8% |
| m | 628 | 5.7% |
| c | 562 | 5.1% |
| Other values (8) | 2578 |
Uppercase Letter
| Value | Count | Frequency (%) |
| U | 704 | |
| C | 471 | |
| D | 186 | 9.9% |
| N | 162 | 8.6% |
| A | 138 | 7.3% |
| K | 74 | 3.9% |
| L | 74 | 3.9% |
| X | 52 | 2.8% |
| Q | 24 | 1.3% |
Space Separator
| Value | Count | Frequency (%) |
| 560 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12880 | |
| Common | 560 | 4.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1529 | 11.9% |
| e | 1161 | 9.0% |
| r | 992 | 7.7% |
| u | 795 | 6.2% |
| d | 756 | 5.9% |
| U | 704 | 5.5% |
| y | 704 | 5.5% |
| s | 657 | 5.1% |
| o | 633 | 4.9% |
| m | 628 | 4.9% |
| Other values (17) | 4321 |
Common
| Value | Count | Frequency (%) |
| 560 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13440 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1529 | 11.4% |
| e | 1161 | 8.6% |
| r | 992 | 7.4% |
| u | 795 | 5.9% |
| d | 756 | 5.6% |
| U | 704 | 5.2% |
| y | 704 | 5.2% |
| s | 657 | 4.9% |
| o | 633 | 4.7% |
| m | 628 | 4.7% |
| Other values (18) | 4881 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| ('P0', 'id') | ('P1', 'age') | ('P2', 'gender') | ('P3', 'living_in_brasil') | ('P5', 'living_state') | ('P6', 'born_or_graduated') | ('P8', 'degreee_level') | ('P10', 'job_situation') | ('P12', 'workers_number') | ('P13', 'manager') | ('P16', 'salary_range') | ('P17', 'time_experience_data_science') | ('P18', 'time_experience_before') | ('P19', 'is_data_science_professional') | ('P20', 'linear_regression') | ('P20', 'logistic_regression') | ('P20', 'glms') | ('P20', 'decision_tree') | ('P20', 'random_forest') | ('P20', 'neural_networks') | ('P20', 'bayesian_inference') | ('P20', 'ensemble') | ('P20', 'svms') | ('P20', 'cnns') | ('P20', 'rnns') | ('P20', 'hmms') | ('P20', 'gans') | ('P20', 'markov_chains') | ('P20', 'nlp') | ('P20', 'gradient_boosted_machines') | ('P20', 'cluster_analysis') | ('P20', 'survival_analysis') | ('P20', 'longitudinal_data_analysis') | ('P20', 'joint analysis') | ('P20', 'no_listed_methods') | ('P21', 'sql_') | ('P21', 'r') | ('P21', 'python') | ('P21', 'c_c++_c#') | ('P21', 'dotnet') | ('P21', 'java') | ('P21', 'julia') | ('P21', 'sas_stata') | ('P21', 'visual_basic_vba') | ('P21', 'scala') | ('P21', 'matlab') | ('P21', 'php') | ('P21', 'no_listed_languages') | ('P22', 'most_used_proggraming_languages') | ('P23', 'sql') | ('P23', 'nosql') | ('P23', 'images') | ('P23', 'nlp') | ('P23', 'videos') | ('P23', 'sheets') | ('P23', 'other') | ('P24', 'sql') | ('P24', 'nosql') | ('P24', 'imagens') | ('P24', 'nlp') | ('P24', 'vídeos') | ('P24', 'planilhas') | ('P24', 'other') | ('P25', 'aws') | ('P25', 'gcp') | ('P25', 'azure') | ('P25', 'ibm') | ('P25', 'on_premise_servers') | ('P25', 'cloud_própria') | ('P25', 'other') | ('P26', 'mysql') | ('P26', 'oracle') | ('P26', 'sql_server') | ('P26', 'aurora') | ('P26', 'dynamodb') | ('P26', 'coachdb') | ('P26', 'cassandra') | ('P26', 'mongodb') | ('P26', 'mariadb') | ('P26', 'datomic') | ('P26', 's3') | ('P26', 'postgresql') | ('P26', 'elaticsearch') | ('P26', 'db2') | ('P26', 'ms_access') | ('P26', 'sqlite') | ('P26', 'sybase') | ('P26', 'firebase') | ('P26', 'vertica') | ('P26', 'redis') | ('P26', 'neo4j') | ('P26', 'google_bigtable') | ('P26', 'hbase') | ('P26', 'other') | ('P27', 'microsoft_powerbi') | ('P27', 'qlik_view_qlik_sense') | ('P27', 'tableau') | ('P27', 'metabase') | ('P27', 'superset') | ('P27', 'redash') | ('P27', 'microstrategy') | ('P27', 'ibm_analytics_cognos') | ('P27', 'sap_business_objects') | ('P27', 'oracle_business_intelligence') | ('P27', 'birst') | ('P27', 'looker') | ('P27', 'google_data_studio') | ('P27', 'only_excel_gsheets') | ('P27', 'no_bi_tool_at_work') | ('P27', 'other') | ('P28', 'sql_&_stored_procedures') | ('P28', 'apache_airflow') | ('P28', 'luigi') | ('P28', 'aws_glue') | ('P28', 'talend') | ('P28', 'pentaho') | ('P28', 'alteryx') | ('P28', 'oracle_data_integrator') | ('P28', 'ibm_data_stage') | ('P28', 'sap_bw_etl') | ('P28', 'siss_sql_server_integration_services') | ('P28', 'other') | ('P29', 'have_data_warehouse') | ('P30', 'google_bigquery') | ('P30', 'aws_redshift') | ('P30', 'snowflake') | ('P30', 'oracle') | ('P30', 'postgres_mysql') | ('P30', 'ibm') | ('P30', 'teradata') | ('P30', 'microsoft_azure') | ('P30', 'do_not_know') | ('P30', 'other') | ('P31', 'data_hackers_blog') | ('P31', 'data_hackers_podcast') | ('P31', 'weekly_newsletter') | ('P31', 'slack_channel') | ('P31', 'data_hackers_bootcamp') | ('P31', 'do_not_know_data_hackers') | ('P32', 'prefered_data_hackers_initiative') | ('P33', 'telegram_groups') | ('P33', 'whatsapp_groups') | ('P33', 'youtube_channels') | ('P33', 'other_brasilian_blogs') | ('P33', 'other_slack_channels') | ('P33', 'twitter') | ('P33', 'abroad_blogs') | ('P33', 'abroad_podcasts') | ('P33', 'meetups_and_events') | ('P33', 'only_data_hackers') | ('P33', 'other') | ('P34', 'udacity') | ('P34', 'coursera') | ('P34', 'udemy') | ('P34', 'height') | ('P34', 'edx') | ('P34', 'data_camp') | ('P34', 'data_quest') | ('P34', 'kaggle_learn') | ('P34', 'online_courses') | ('P34', 'other') | ('P35', 'data_science_plataforms_preference') | ('P35', 'other') | ('P36', 'draw_participation') | ('D1', 'living_macroregion') | ('D2', 'origin_macroregion') | ('D3', 'anonymized_degree_area') | ('D4', 'anonymized_market_sector') | ('D5', 'anonymized_manager_level') | ('D6', 'anonymized_role') | profissao | idade | salario | tamanho_da_empresa | gestor | se_considera_ds | sexo | experiencia_ds | tipo_de_trabalho | escolaridade | area_de_formacao | setor_de_mercado | plataforma_favorita | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | v9otv8j9wdvjrv9otvwnn9owhzq54ktv | 37.0 | Masculino | 1 | Minas Gerais (MG) | 1.0 | Estudante de Graduação | Empregado (CTL) | de 1 a 5 | 0.0 | de R$ 1.001/mês a R$ 2.000/mês | Não tenho experiência na área de dados | Não tive experiência na área de TI/Engenharia de Software antes de começar a trabalhar na área de dados | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | Ainda não conhecia o Data Hackers | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | Nunca fiz cursos online | NaN | 1.0 | Região Sudeste | NaN | Computação / Engenharia de Software / Sistemas de Informação | Outras | NaN | Outras | Outras | [31,40] | 1500.0 | Pequena | não | não | Masculino | Não tenho experiência na área de dados | Empregado (CTL) | Estudante de Graduação | Computação / Engenharia de Software / Sistemas de Informação | Outras | Nunca fiz cursos online |
| 1 | 875ul998t0hqcv0871uptwf3oswcfv35 | 24.0 | Feminino | 1 | São Paulo (SP) | 1.0 | Estudante de Graduação | Empregado (CTL) | Acima de 3000 | 0.0 | de R$ 2.001/mês a R$ 3000/mês | Menos de 1 ano | Não tive experiência na área de TI/Engenharia de Software antes de começar a trabalhar na área de dados | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Python | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | Ainda não conhecia o Data Hackers | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | NaN | Data Science Academy | 0.0 | Região Sudeste | NaN | Computação / Engenharia de Software / Sistemas de Informação | Educação | NaN | Data Analyst/Analista de Dados | NaN | [18,24] | 2500.0 | Grande | não | sim | Feminino | Menos de 1 ano | Empregado (CTL) | Estudante de Graduação | Computação / Engenharia de Software / Sistemas de Informação | Educação | NaN |
| 2 | puscuk079vw1pusbb900pzw2xvpxtgdk | 26.0 | Masculino | 1 | São Paulo (SP) | 1.0 | Graduação/Bacharelado | Empregado (CTL) | Acima de 3000 | 0.0 | de R$ 4.001/mês a R$ 6.000/mês | de 1 a 2 anos | de 6 a 10 anos | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Python | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | Newsletter Semanal | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | Udemy | NaN | 1.0 | Região Sudeste | NaN | Outras Engenharias | Indústria (Manufatura) | NaN | Outras | Outras | [25,30] | 5000.0 | Grande | não | sim | Masculino | de 1 a 2 anos | Empregado (CTL) | Graduação/Bacharelado | Outras Engenharias | Indústria (Manufatura) | Udemy |
| 3 | rmel8ewqpbffp2mnfbzermel8eqincov | 21.0 | Masculino | 1 | São Paulo (SP) | 0.0 | Estudante de Graduação | Estagiário | de 11 a 50 | 0.0 | de R$ 1.001/mês a R$ 2.000/mês | Menos de 1 ano | de 2 a 3 anos | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | SQL | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | Ainda não conhecia o Data Hackers | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | Alura | NaN | 1.0 | Região Sudeste | Região Sudeste | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | NaN | Business Intelligence/Analista de BI | Analista de BI | [18,24] | 1500.0 | Pequena | não | sim | Masculino | Menos de 1 ano | Estagiário | Estudante de Graduação | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | Alura |
| 4 | pj9mgud4d6mdct1l7vq0pj9mgu78h6ju | 27.0 | Masculino | 1 | NaN | 1.0 | Graduação/Bacharelado | Freelancer | de 6 a 10 | 1.0 | de R$ 6.001/mês a R$ 8.000/mês | de 4 a 5 anos | de 4 a 5 anos | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Python | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | Blog/Medium do Data Hackers | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Udemy | NaN | 1.0 | NaN | NaN | Computação / Engenharia de Software / Sistemas de Informação | Internet/Ecommerce | C-level (CDO, CIO, CTO) | NaN | NaN | [25,30] | 7000.0 | Pequena | sim | sim | Masculino | de 4 a 5 anos | Freelancer | Graduação/Bacharelado | Computação / Engenharia de Software / Sistemas de Informação | Internet/Ecommerce | Udemy |
| 5 | cb7n2v7372y97wl1lcb7n2e8tpockl83 | 27.0 | Masculino | 1 | Paraná (PR) | 1.0 | Estudante de Graduação | Empregado (CTL) | de 101 a 500 | 0.0 | de R$ 3.001/mês a R$ 4.000/mês | Menos de 1 ano | de 4 a 5 anos | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | Podcast do Data Hackers | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Udemy | NaN | 1.0 | Região Sul | NaN | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | NaN | Outras | Outras | [25,30] | 3500.0 | Média | não | não | Masculino | Menos de 1 ano | Empregado (CTL) | Estudante de Graduação | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | Udemy |
| 6 | ayev5viaqe43pxxqqxayev5vtvdba619 | 34.0 | Masculino | 1 | Rio Grande do Sul (RS) | 1.0 | Pós-graduação | Empregado (CTL) | de 51 a 100 | 1.0 | de R$ 6.001/mês a R$ 8.000/mês | Não tenho experiência na área de dados | Menos de 1 ano | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | Java | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | Podcast do Data Hackers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | Udemy | NaN | 1.0 | Região Sul | NaN | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | Team Leader/Tech Leader | NaN | NaN | [31,40] | 7000.0 | NaN | sim | sim | Masculino | Não tenho experiência na área de dados | Empregado (CTL) | Pós-graduação | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | Udemy |
| 7 | se3czgy682ew760hzvhmvsse3czpwozo | 37.0 | Feminino | 1 | São Paulo (SP) | 0.0 | Graduação/Bacharelado | Freelancer | de 11 a 50 | 1.0 | de R$ 8.001/mês a R$ 12.000/mês | de 2 a 3 anos | Não tive experiência na área de TI/Engenharia de Software antes de começar a trabalhar na área de dados | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | Bootcamp do Data Hackers | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | NaN | Digital House | 1.0 | Região Sudeste | Região Nordeste | Outras Engenharias | Outras | Coordenador | NaN | NaN | [31,40] | 10000.0 | Pequena | sim | não | Feminino | de 2 a 3 anos | Freelancer | Graduação/Bacharelado | Outras Engenharias | Outras | NaN |
| 8 | h5zvhct1kbmbb49h5zgzb3c1ce6lnrl6 | 26.0 | Masculino | 1 | NaN | 1.0 | Estudante de Graduação | Estagiário | de 6 a 10 | 0.0 | de R$ 2.001/mês a R$ 3000/mês | Não tenho experiência na área de dados | de 2 a 3 anos | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | Blog/Medium do Data Hackers | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | Udemy | NaN | 0.0 | NaN | NaN | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | NaN | Desenvolvedor ou Engenheiro de Software | Desenvolvedor ou Engenheiro de Software | [25,30] | 2500.0 | Pequena | não | não | Masculino | Não tenho experiência na área de dados | Estagiário | Estudante de Graduação | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | Udemy |
| 9 | 4t388yqrekd1gsq4t388b9gqkmt2z86x | 28.0 | Masculino | 1 | São Paulo (SP) | 1.0 | Mestrado | Empregado (CTL) | Acima de 3000 | 0.0 | de R$ 8.001/mês a R$ 12.000/mês | de 2 a 3 anos | de 6 a 10 anos | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | R | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | Ainda não conhecia o Data Hackers | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Udemy | NaN | 1.0 | Região Sudeste | NaN | Computação / Engenharia de Software / Sistemas de Informação | Área da Saúde | NaN | Data Scientist/Cientista de Dados | Cientista de Dados | [25,30] | 10000.0 | Grande | não | sim | Masculino | de 2 a 3 anos | Empregado (CTL) | Mestrado | Computação / Engenharia de Software / Sistemas de Informação | Área da Saúde | Udemy |
Last rows
| ('P0', 'id') | ('P1', 'age') | ('P2', 'gender') | ('P3', 'living_in_brasil') | ('P5', 'living_state') | ('P6', 'born_or_graduated') | ('P8', 'degreee_level') | ('P10', 'job_situation') | ('P12', 'workers_number') | ('P13', 'manager') | ('P16', 'salary_range') | ('P17', 'time_experience_data_science') | ('P18', 'time_experience_before') | ('P19', 'is_data_science_professional') | ('P20', 'linear_regression') | ('P20', 'logistic_regression') | ('P20', 'glms') | ('P20', 'decision_tree') | ('P20', 'random_forest') | ('P20', 'neural_networks') | ('P20', 'bayesian_inference') | ('P20', 'ensemble') | ('P20', 'svms') | ('P20', 'cnns') | ('P20', 'rnns') | ('P20', 'hmms') | ('P20', 'gans') | ('P20', 'markov_chains') | ('P20', 'nlp') | ('P20', 'gradient_boosted_machines') | ('P20', 'cluster_analysis') | ('P20', 'survival_analysis') | ('P20', 'longitudinal_data_analysis') | ('P20', 'joint analysis') | ('P20', 'no_listed_methods') | ('P21', 'sql_') | ('P21', 'r') | ('P21', 'python') | ('P21', 'c_c++_c#') | ('P21', 'dotnet') | ('P21', 'java') | ('P21', 'julia') | ('P21', 'sas_stata') | ('P21', 'visual_basic_vba') | ('P21', 'scala') | ('P21', 'matlab') | ('P21', 'php') | ('P21', 'no_listed_languages') | ('P22', 'most_used_proggraming_languages') | ('P23', 'sql') | ('P23', 'nosql') | ('P23', 'images') | ('P23', 'nlp') | ('P23', 'videos') | ('P23', 'sheets') | ('P23', 'other') | ('P24', 'sql') | ('P24', 'nosql') | ('P24', 'imagens') | ('P24', 'nlp') | ('P24', 'vídeos') | ('P24', 'planilhas') | ('P24', 'other') | ('P25', 'aws') | ('P25', 'gcp') | ('P25', 'azure') | ('P25', 'ibm') | ('P25', 'on_premise_servers') | ('P25', 'cloud_própria') | ('P25', 'other') | ('P26', 'mysql') | ('P26', 'oracle') | ('P26', 'sql_server') | ('P26', 'aurora') | ('P26', 'dynamodb') | ('P26', 'coachdb') | ('P26', 'cassandra') | ('P26', 'mongodb') | ('P26', 'mariadb') | ('P26', 'datomic') | ('P26', 's3') | ('P26', 'postgresql') | ('P26', 'elaticsearch') | ('P26', 'db2') | ('P26', 'ms_access') | ('P26', 'sqlite') | ('P26', 'sybase') | ('P26', 'firebase') | ('P26', 'vertica') | ('P26', 'redis') | ('P26', 'neo4j') | ('P26', 'google_bigtable') | ('P26', 'hbase') | ('P26', 'other') | ('P27', 'microsoft_powerbi') | ('P27', 'qlik_view_qlik_sense') | ('P27', 'tableau') | ('P27', 'metabase') | ('P27', 'superset') | ('P27', 'redash') | ('P27', 'microstrategy') | ('P27', 'ibm_analytics_cognos') | ('P27', 'sap_business_objects') | ('P27', 'oracle_business_intelligence') | ('P27', 'birst') | ('P27', 'looker') | ('P27', 'google_data_studio') | ('P27', 'only_excel_gsheets') | ('P27', 'no_bi_tool_at_work') | ('P27', 'other') | ('P28', 'sql_&_stored_procedures') | ('P28', 'apache_airflow') | ('P28', 'luigi') | ('P28', 'aws_glue') | ('P28', 'talend') | ('P28', 'pentaho') | ('P28', 'alteryx') | ('P28', 'oracle_data_integrator') | ('P28', 'ibm_data_stage') | ('P28', 'sap_bw_etl') | ('P28', 'siss_sql_server_integration_services') | ('P28', 'other') | ('P29', 'have_data_warehouse') | ('P30', 'google_bigquery') | ('P30', 'aws_redshift') | ('P30', 'snowflake') | ('P30', 'oracle') | ('P30', 'postgres_mysql') | ('P30', 'ibm') | ('P30', 'teradata') | ('P30', 'microsoft_azure') | ('P30', 'do_not_know') | ('P30', 'other') | ('P31', 'data_hackers_blog') | ('P31', 'data_hackers_podcast') | ('P31', 'weekly_newsletter') | ('P31', 'slack_channel') | ('P31', 'data_hackers_bootcamp') | ('P31', 'do_not_know_data_hackers') | ('P32', 'prefered_data_hackers_initiative') | ('P33', 'telegram_groups') | ('P33', 'whatsapp_groups') | ('P33', 'youtube_channels') | ('P33', 'other_brasilian_blogs') | ('P33', 'other_slack_channels') | ('P33', 'twitter') | ('P33', 'abroad_blogs') | ('P33', 'abroad_podcasts') | ('P33', 'meetups_and_events') | ('P33', 'only_data_hackers') | ('P33', 'other') | ('P34', 'udacity') | ('P34', 'coursera') | ('P34', 'udemy') | ('P34', 'height') | ('P34', 'edx') | ('P34', 'data_camp') | ('P34', 'data_quest') | ('P34', 'kaggle_learn') | ('P34', 'online_courses') | ('P34', 'other') | ('P35', 'data_science_plataforms_preference') | ('P35', 'other') | ('P36', 'draw_participation') | ('D1', 'living_macroregion') | ('D2', 'origin_macroregion') | ('D3', 'anonymized_degree_area') | ('D4', 'anonymized_market_sector') | ('D5', 'anonymized_manager_level') | ('D6', 'anonymized_role') | profissao | idade | salario | tamanho_da_empresa | gestor | se_considera_ds | sexo | experiencia_ds | tipo_de_trabalho | escolaridade | area_de_formacao | setor_de_mercado | plataforma_favorita | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1755 | 3z4afj8ziervly3z4ar7tbmydadwdb9n | 28.0 | Masculino | 1 | Paraná (PR) | 0.0 | Pós-graduação | Empregado (CTL) | de 11 a 50 | 0.0 | de R$ 3.001/mês a R$ 4.000/mês | Menos de 1 ano | de 6 a 10 anos | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | SQL | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | Podcast do Data Hackers | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | Udemy | NaN | 1.0 | Região Sul | Região Sudeste | Computação / Engenharia de Software / Sistemas de Informação | Telecomunicação | NaN | Data Analyst/Analista de Dados | NaN | [25,30] | 3500.0 | Pequena | não | sim | Masculino | Menos de 1 ano | Empregado (CTL) | Pós-graduação | Computação / Engenharia de Software / Sistemas de Informação | Telecomunicação | Udemy |
| 1756 | vkta5v2o695imgyd3779rovkta5v2r4p | 18.0 | Masculino | 1 | Minas Gerais (MG) | 1.0 | Graduação/Bacharelado | Estagiário | de 501 a 1000 | 0.0 | de R$ 1.001/mês a R$ 2.000/mês | Menos de 1 ano | de 2 a 3 anos | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | SQL | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | Blog/Medium do Data Hackers | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | Udemy | NaN | 1.0 | Região Sudeste | NaN | Computação / Engenharia de Software / Sistemas de Informação | Internet/Ecommerce | NaN | Data Analyst/Analista de Dados | NaN | [18,24] | 1500.0 | Média | não | sim | Masculino | Menos de 1 ano | Estagiário | Graduação/Bacharelado | Computação / Engenharia de Software / Sistemas de Informação | Internet/Ecommerce | Udemy |
| 1757 | 5rg9lph8b5a68di0fk5rg9lphjvlg1vv | 31.0 | Masculino | 1 | São Paulo (SP) | 1.0 | Graduação/Bacharelado | Empregado (CTL) | de 501 a 1000 | 0.0 | de R$ 6.001/mês a R$ 8.000/mês | de 6 a 10 anos | Não tive experiência na área de TI/Engenharia de Software antes de começar a trabalhar na área de dados | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | Canal do Slack | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | Coursera | NaN | 1.0 | Região Sudeste | NaN | Computação / Engenharia de Software / Sistemas de Informação | Área da Saúde | NaN | Desenvolvedor ou Engenheiro de Software | Desenvolvedor ou Engenheiro de Software | [31,40] | 7000.0 | Média | não | não | Masculino | de 6 a 10 anos | Empregado (CTL) | Graduação/Bacharelado | Computação / Engenharia de Software / Sistemas de Informação | Área da Saúde | Coursera |
| 1758 | 8gz3i9gwg3uckdqx4r8gz3i9bebm0ktd | 35.0 | Masculino | 1 | Rio de Janeiro (RJ) | 1.0 | Graduação/Bacharelado | Empreendedor ou Empregado (CNPJ) | Acima de 3000 | 1.0 | de R$ 8.001/mês a R$ 12.000/mês | Não tenho experiência na área de dados | Mais de 10 anos | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | Canal do Slack | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | Udemy | NaN | 0.0 | Região Sudeste | NaN | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | Coordenador | Desenvolvedor ou Engenheiro de Software | Desenvolvedor ou Engenheiro de Software | [31,40] | 10000.0 | Grande | sim | não | Masculino | Não tenho experiência na área de dados | Empreendedor ou Empregado (CNPJ) | Graduação/Bacharelado | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | Udemy |
| 1759 | 5p99xpvpnh03ebva5p99uezed5g5zcb7 | 43.0 | Masculino | 1 | São Paulo (SP) | 1.0 | Graduação/Bacharelado | Empregado (CTL) | de 51 a 100 | 0.0 | de R$ 8.001/mês a R$ 12.000/mês | Mais de 10 anos | Mais de 10 anos | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | Podcast do Data Hackers | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Udemy | NaN | 1.0 | Região Sudeste | NaN | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | NaN | Desenvolvedor ou Engenheiro de Software | Desenvolvedor ou Engenheiro de Software | [41,50] | 10000.0 | NaN | não | não | Masculino | Mais de 10 anos | Empregado (CTL) | Graduação/Bacharelado | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | Udemy |
| 1760 | qkjyuc8dayrrqahyjqkj841kpgymnpau | 23.0 | Feminino | 1 | Minas Gerais (MG) | 1.0 | Graduação/Bacharelado | Desempregado, buscando recolocação | NaN | NaN | NaN | Não tenho experiência na área de dados | Não tive experiência na área de TI/Engenharia de Software antes de começar a trabalhar na área de dados | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | Newsletter Semanal | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | Udemy | NaN | 0.0 | Região Sudeste | NaN | Outras | NaN | NaN | NaN | NaN | [18,24] | NaN | NaN | NaN | não | Feminino | Não tenho experiência na área de dados | Desempregado, buscando recolocação | Graduação/Bacharelado | Outras | NaN | Udemy |
| 1761 | 7z5vvw7ycrxn4sujnv7z5vvw7r36gi5k | 39.0 | Masculino | 1 | São Paulo (SP) | 1.0 | Estudante de Graduação | Empregado (CTL) | de 1001 a 3000 | 0.0 | de R$ 4.001/mês a R$ 6.000/mês | de 2 a 3 anos | Não tive experiência na área de TI/Engenharia de Software antes de começar a trabalhar na área de dados | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | Canal do Slack | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Udemy | NaN | 1.0 | Região Sudeste | NaN | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | NaN | Business Analyst/Analista de Negócios | Analista de BI | [31,40] | 5000.0 | Grande | não | não | Masculino | de 2 a 3 anos | Empregado (CTL) | Estudante de Graduação | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | Udemy |
| 1762 | 0s2jaountv3tyrae0sir4jd8o5hz19ob | 36.0 | Masculino | 1 | Paraná (PR) | 0.0 | Pós-graduação | Empregado (CTL) | Acima de 3000 | 0.0 | de R$ 6.001/mês a R$ 8.000/mês | de 2 a 3 anos | Mais de 10 anos | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | Podcast do Data Hackers | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | Udemy | NaN | 1.0 | Região Sul | Região Nordeste | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | NaN | Data Engineer/Engenheiro de Dados | NaN | [31,40] | 7000.0 | Grande | não | não | Masculino | de 2 a 3 anos | Empregado (CTL) | Pós-graduação | Computação / Engenharia de Software / Sistemas de Informação | Tecnologia/Fábrica de Software | Udemy |
| 1763 | r3kvh535z7xai2v8er3kv791tkmcysz8 | 29.0 | Masculino | 1 | Minas Gerais (MG) | 1.0 | Não tenho graduação formal | Empreendedor ou Empregado (CNPJ) | de 11 a 50 | 1.0 | de R$ 8.001/mês a R$ 12.000/mês | de 4 a 5 anos | Mais de 10 anos | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | SQL | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | Canal do Slack | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Udacity | NaN | 0.0 | Região Sudeste | NaN | NaN | Tecnologia/Fábrica de Software | C-level (CDO, CIO, CTO) | Data Engineer/Engenheiro de Dados | NaN | [25,30] | 10000.0 | Pequena | sim | sim | Masculino | de 4 a 5 anos | Empreendedor ou Empregado (CNPJ) | Não tenho graduação formal | NaN | Tecnologia/Fábrica de Software | Udacity |
| 1764 | 1cz0hm5i92rw913f1cz0hmvferfavkkb | 22.0 | NaN | 0 | NaN | NaN | Não tenho graduação formal | Prefiro não dizer | Acima de 3000 | 0.0 | Menos de R$ 1.000/mês | Menos de 1 ano | Não tive experiência na área de TI/Engenharia de Software antes de começar a trabalhar na área de dados | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | Blog/Medium do Data Hackers | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | Udemy | NaN | 0.0 | NaN | NaN | NaN | Setor Alimentício | NaN | Estatístico | Cientista de Dados | [18,24] | 1000.0 | Grande | não | não | NaN | Menos de 1 ano | Prefiro não dizer | Não tenho graduação formal | NaN | Setor Alimentício | Udemy |